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A Unified Framework for Multi-Modal Isolated Gesture Recognition

Gait Recognition from Motion Capture Data

NEWS

[February 2018]

Special Issue on "Cross-Media Analysis for Visual Questions" Cfp Submission deadline June 30th 2018

[October 2017]

2018/2019 SPECIAL ISSUE CALL 

We invite highly qualified scientists to submit proposals for 2018-19 ACM TOMM Special Issues. Each Special Issue is in the responsibility of the Guest Editors. Proposals are accepted until December 31st, 2017. They should be prepared according to the instructions outlined below, and sent by e-mail to the Information Director Stefano Berretti ([email protected]) and the Editor in Chief of ACM TOMM Alberto del Bimbo ([email protected]). More information about the proposals submission can be found in the CfP.

 

[June 2017]

The Impact Factor for the year 2016 is now available. ACM TOMM increased its IF from 0.982 to 2.250 being now the second ranked journal in the area of Multimedia. Thank you to all the EB members, authors, reviewers and readers for this excellent results.

Special Issue on " Multi-modal Understanding of Social, Affective and Subjective Attributes of Data". Cfp . Submission deadline Oct. 1st 2017

Special Issue on "Deep Learning for Intelligent Multimedia Analytics". Cfp. Submission deadline Oct. 15 2017

[April 2017]

Special Issue on  "QoE Management for Multimedia Services". Cfp Submission deadline May 15, 2017 Extended to June 15, 2017

[April 2017]

Call for Nominations for TOMM Nicolas D. Georganas Best Paper Award 2017

The Editor-in-Chief of ACM TOMM invites nominations for the ACM TOMM Nicolas D. Georganas Best Paper. Deadline for nominations of papers published in ACM TOMM from January 2016 to December 2016, is June 15th, 2017. See the call for nomination  cfn

[February 2017]

Upcoming special issues:

- "Delay-Sensitive Video Computing in the Cloud". Cfp   Submission deadline  Aug. 20, 2017

- "QoE Management for Multimedia Services". Cfp Submission deadline May 15, 2017

- "Representation, Analysis and Recognition of 3D Humans" Call for papers 

[January 2017]

ACM TOMM AE guidelines have been added

[December 2016]

ACM TOMM Special Issue on "Delay-Sensitive Video Computing in the Cloud". Cfp Submission deadline Nov. 30, 2016 Extended to Dec. 30, 2016

[November 2016]

- ACM TOMM Special Issue on "Deep Learning for Mobile Multimedia". Cfp  Submission deadline Oct15, 2016 Extended to Nov. 25, 2016

- Special Section on "Multimedia Computing and Applications of Socio-Affective Behaviors in the Wild"Cfp Submission deadline Oct. 31, 2016 Extended to Nov. 25, 2016

- Special Section on "Multimedia Understanding via Multimodal Analytics". Cfp Submission deadline Oct. 31, 2016 Extended to Nov. 25, 2016

 

[September 2016]

 

The 2016 ACM Transactions on Multimedia Computing, Communications and Applications (TOMM) Nicolas D. Georganas Best Paper Award is provided to the paper “Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Streams” (TOMM vol. 11, Issue 4) by Bing-Kun Bao, Changsheng Xu, Weiqing Min and Mohammod Shamim Hossain. 

Dr. Cheng-Hsin Hsu has been nominated the ACM TOMM Associate Editor of the Year for 2016! Congratulations to Cheng-Hsin!

[August 2016]

Call for Nominations for TOMM Nicolas D. Georganas Best Paper Award

The Editor-in-Chief of ACM TOMM invites nominations for the ACM TOMM Nicolas D. Georganas Best Paper. Deadline for nominations of papers published in ACM TOMM from January 2015 to December 2015, is September 10th, 2016. See the cfn

[June 2016]

Forthcoming Special Issues in 2017

We received 11 competitive proposals this year, and we had limited slots available, so it was a very tough decision. At the end, the following four SI proposals have been selected and scheduled as follows:

- "Deep Learning for Mobile Multimedia". Cfp  Submission deadline Oct. 15, 2016 Extended to Oct. 31, 2016

- "Representation, Analysis and Recognition of 3D Human". Cfp   Submission deadline Jan. 15, 2017 Extended to Feb. 15, 2017 

Two Special Section have been also accepted and scheduled for publication in 2017:

- "Multimedia Computing and Applications of Socio-Affective Behaviors in the Wild". Cfp Submission deadline Oct. 31, 2016

- "Multimedia Understanding via Multimodal Analytics". Cfp Submission deadline Oct. 31, 2016

[June 2016]

Forthcoming Special Issues in 2016

"Trust Management for Multimedia Big Data" - Publication date August 2016

"Multimedia Big Data: Networking" - Publication date November 2016

[February 2016]

Advisory Board

We have created the ACM TOMM Advisory Board to support the Editor in Chief in the definition and implementation of strategies with no editorial duties. The following colleagues have been appointed as members of the ACM TOMM Advisory Board: Prof. Wen Gao,  Peking University, Prof. Arnold Smeulders, University of Amsterdam, Prof. Nicu Sebe, University of Trento. 

[January 2016]

New Assistant Information Director

Starting on January 1st 2016, Marco Bertini will be in charge of Assistant Information Director of ACM TOMM. 

[January 2016]

New Information Director         Starting on January 1st 2016, Stefano Berretti will be in charge of Information Director of ACM TOMM.  

[January 2016]

New Editor-in-Chief

After the end of the second term of Ralf Steinmetz, Alberto Del Bimbo from the University of Florence will be the next TOMM Editor-in-Chief starting on January 1st 2016. 

ACM TOMM Nicolas D. Georgans Best Paper Award 2015

The award goes to the article "A Quality of Experience Model for Haptic Virtual Environments” (TOMM vol.10, Issue 3) by Abdelwahab Hamam, Abdulmotaleb El Saddik and Jihad Alja'am. Congratulations!

ACM TOMM Associate Editor of the Year 2015 Award

The award goes Pradeep Atrey from State University of New York, USA for his excellent work for the journal. Congratulations!

CfP: Special Issue "Multimedia Big Data: Networking"

Please consider submitting to the second special issue in next years special issue series. Call for Papers

 

CfP: Special Issue "Trust Management for Multimedia Big Data"

Next year, TOMM will feature a special issue series on "Multimedia Big Data". First topic will be "Trust Management". Extended Deadline: October 15th! Call for Papers

 

Call for Nominations TOMM Editor-in-Chief

After two terms of the current EiC Ralf Steinmetz, the search committee started the search for a new Editor-in-Chief. Call for Nominations

 

New ACM submission templates

The new ACM submission templates are online. Please use the most recent link on the authors' guide to find the files.

 

About TOMM

 

A peer-reviewed, quarterly archival journal in print and digital form, TOMM consists primarily of research papers of lasting importance and value in the field of multimedia computing, communications and applications. 

 

[October 2017]

2018/2019 SPECIAL ISSUE CALL 

 

News archive
Forthcoming Articles

INTRODUCTION TO THE SPECIAL ISSUE ON REPRESENTATION, ANALYSIS AND RECOGNITION OF 3D HUMANS

Representation, Analysis and Recognition of 3D Humans: A Survey

Computer Vision and Multimedia solutions are now offering an increasing number of applications ready for use by end users in everyday life. Many of these applications are centered on the detection, representation, and analysis of face and body. Methods based on 2D images and videos are the most widespread, but there is a recent trend that successfully extends the study to 3D human data as acquired by a new generation of 3D acquisition devices. Based on these premises, in this survey, we provide an overview on the newly designed techniques that exploit 3D human data also prospecting the most promising current and future research directions. In particular, we first propose a taxonomy of the methods for representation, analysis and recognition of 3D humans from 3D static and dynamic data. Then, we focus on the applications for body and face. In the Appendix, the main characteristics of the datasets used as benchmarks for evaluating and comparing the existing techniques are also summarized.

Game Input with Delay - Moving Target Selection with a Game Controller Thumbstick

Hosting interactive video-based services, such as computer games, in the cloud poses particular challenges given the sensitivity to delay. A better understanding of the impact of delay on player-game interactions can help design cloud systems and games that accommodate delay inherent in cloud systems. Previous top-down studies of delay using full-featured games have helped understand the impact of delay, but often do not generalize nor lend themselves to analytic modeling. Bottom-up studies isolating user input and delay can better generalize and be used in models, but have yet to be applied to cloud-hosted computer games. In order to better understand delay impact in cloud-hosted computer games, we conduct a large bottom-up user study centered on a fundamental game interaction - selecting a moving target with user input subject to delay. Our work builds a custom game that controls both the target speed and input delay and has players select the target using an analog thumbstick controller. Analysis of data from over 50 users shows target selection time exponentially increases with delay and target speed and is well-fit by an exponential model that includes a delay & target speed interaction term. A comparison with two previous studies, both using a mouse instead of a thumbstick, suggests the model's relationship between delay and target speed holds more broadly, providing a foundation for a potential law explaining moving target selection with delay encountered in cloud-hosted games.

Contrast Enhancement Estimation for Digital Image Forensics

Inconsistency in contrast enhancement can be used to expose image forgeries. In this work, we describe a new method to estimate contrast enhancement from a single image. Our method takes advantage of the nature of contrast enhancement as a mapping between pixel values, and the distinct characteristics it introduces to the image pixel histogram. Our method recovers the original pixel histogram and the contrast enhancement simultaneously from a single image with an iterative algorithm. Unlike previous methods, our method is robust in the presence of additive noise perturbations that are used to hide the traces of contrast enhancement. Furthermore, we also develop an e effective method to to detect image regions undergone contrast enhancement transformations that are different from the rest of the image, and use this method to detect composite images. We perform extensive experimental evaluations to demonstrate the efficacy and efficiency of our method method.

A Survey of Emerging Concepts and Challenges for QoE Management of Multimedia Services

Quality of Experience (QoE) has received much attention over the past years and has become a prominent issue for delivering services and applications. A significant amount of research has been devoted to understanding, measuring, and modelling QoE for a variety of media services. The next logical step is to actively exploit that accumulated knowledge to improve and manage the quality of multimedia services, while at the same time ensuring efficient and cost-effective network operations. Moreover, with many different players involved in the end-to-end service delivery chain, identifying the root causes of QoE impairments and finding effective solutions for meeting the end users' requirements and expectations in terms of service quality is a challenging and complex problem. In this paper we survey state-of-the-art findings and present emerging concepts and challenges related to managing QoE for networked multimedia services. Going beyond a number of previously published survey papers addressing the topic of QoE management, we address QoE management in the context of ongoing developments, such as the move to 5G and virtualized networks, the exploitation of big data analytics and machine learning, and the steady rise of new and immersive services (e.g., augmented and virtual reality). We address the implications of such paradigm shifts in terms of new approaches in QoE modeling, and the need for novel QoE monitoring and management infrastructures.

Measuring Individual Video QoE Using Facebook: A Novel Experimental Platform for Future Directions

The next generation of multimedia services will have to be optimized in a personalized way, therefore the user factors will play a crucial role in individual experience evaluation. So far, the influence of user factors is mainly investigated in the controlled laboratory environment which often includes limited number of users and fails to reflect real-life environment. Social media, especially Facebook, provides an interesting alternative for internet-based subjective experimentation. In this paper, we developed an open-sourced Facebook application, named YouQ, as an experimental platform for studying individual experience evaluations. Our results show that subjective experimentation based on YouQ can produce reliable results as compared to a controlled laboratory experiment. Additionally, YouQ is able to collect user information automatically from Facebook, and such user information has shown its potential for modelling individual experience.

A Generic Approach to Video Buffer Modeling using Discrete-Time Analysis

The large share of traffic in the Internet generated by video streaming services puts high loads on access networks and produces high costs for the content delivery infrastructure. To reduce the bandwidth consumed, while maintaining a high playback quality, video players use policies that control and limit the buffer level. This allows shaping the bandwidth consumed by video streams and limiting the traffic wasted in case of playback abortion. Especially in mobile scenarios, where the bandwidth can be highly variant, the buffer policy can have a high impact on the probability of interruptions during video playback. To find the optimal setting for the buffer policy in each network condition, the relationship between the parameters of the buffer policy, the network dynamics and the corresponding video playback behavior need to be understood. To this end, we model the video buffer as GI/GI/1 queue with pq-policy using discrete-time analysis. This allows evaluating the impact of varying network conditions and video bitrate on the efficiency of the buffer policy. By studying the stochastic properties of the buffer level distribution, we are able to accurately evaluate the impact of network and video bitrate dynamics on the video playback quality based on the buffer policy. Further, we can optimize the trade-off between the traffic wasted in case of video abortion and video streaming quality experienced by the user.

Quality of Experience-Centric Management of Adaptive Video Streaming Services: Status and Challenges

Video streaming applications currently dominate Internet traffic. Particularly, HTTP Adaptive Streaming (HAS) has emerged as the de facto standard for streaming videos over the best-effort Internet, thanks to its capability of matching the video quality to the available network resources. In HAS, the video client is equipped with a heuristic that dynamically decides the most suitable quality to stream the content, based on information such as the perceived network bandwidth or the video player buffer status. The goal of this heuristic is to optimize the quality as perceived by the user, the so-called Quality of Experience (QoE). Despite the many advantages brought by the adaptive streaming principle, optimizing users' QoE is far from trivial. Current heuristics are still suboptimal when sudden bandwidth drops occur, especially in wireless environments, thus leading to freezes in the video playout, the main factor influencing users' QoE. This issue is aggravated in case of live events, where the player buffer has to be kept as small as possible in order to reduce the playout delay between the user and the live signal. In light of the above, in recent years, several works have been proposed with the aim of extending the classical purely client-based structure of adaptive video streaming, in order to fully optimize users' QoE. In this paper, a survey is presented of research works on this topic together with a classification based on where the optimization takes place. This classification goes beyond client-based heuristics to investigate the usage of server- and network-assisted architectures and of new application and transport layer protocols. In addition, we outline the major challenges currently arising in the field of multimedia delivery, which are going to be of extreme relevance in future years.

Aesthetic Highlight Detection in Movies Based on Synchronization of Spectators' Reactions

Detection of aesthetic highlights is a challenge for understanding the affective processes taking place during movie watching. In this paper we focus our study on spectators responses to movie aesthetic stimuli in a social context. Moreover, we look for uncovering the emotional component of aesthetic highlights in movies. Our assumption is that synchronized spectators physiological and behavioral reactions occur during these highlights because: (i) aesthetic choices of filmmakers are made to elicit specific emotional reactions (e.g. special effects, empathy and compassion toward a character, etc.) and (ii) watching a movie together causes spectators affective reactions to be synchronized through emotional contagion. We compare different approaches to estimation of synchronization among groups of spectators signals, such as pairwise, group and overall synchronization measures to detect aesthetic highlights in movies. The results show that the unsupervised architecture relying on synchronization measures is able to capture different properties of spectators synchronization and detect aesthetic highlights based on both spectators electrodermal and acceleration signals. Pairwise synchronization measures perform the most accurately independently of the type of the highlights and movie genres. Moreover, we observe that electrodermal signals have more discriminative power than acceleration signals for highlight detection.

Deformation Based 3D Facial Expression Representation

We propose a deformation based representation for analyzing expressions from 3D faces. A point cloud of a 3D face is decomposed into an ordered deformable set of curves that start from a fixed point. Subsequently, a mapping function is defined to identify the set of curves with an element of a high dimensional matrix Lie group, specifically the direct product of SE(3). Representing 3D faces as an element of a high dimensional Lie group has two main advantages. First, using the group structure, facial expressions can be decoupled from a neutral face. Second, an underlying non-linear facial expression manifold can be captured with the Lie group and mapped to a linear space, Lie algebra of the group. This opens up the possibility of classifying facial expressions with linear models without compromising the underlying manifold. Alternatively, linear combinations of linearised facial expressions can be mapped back from the Lie algebra to the Lie group. Tested on the BU-3DFE dataset, for expression recognition, the proposed approach outperforms state of art methods without using any features or landmark points.

Learning a Multi-Concept Video Retrieval Model Using Multiple Latent Variables

Effective and efficient video retrieval has become a pressing need in the "big video'' era. The objective of this work is to provide a principled model for computing the ranking scores of a video in response to one or more concepts, where the concepts could be directly supplied by users or inferred by the system from the user queries. Indeed, how to deal with multi-concept queries has become a central component in modern video retrieval systems that accept text queries. However, it has been long overlooked and simply implemented by weighted averaging the corresponding concept detectors' scores. Our approach, which can be considered as a latent ranking SVM, integrates the advantages of various recent works in text and image retrieval, such as choosing ranking over structured prediction and modeling inter-dependencies between querying concepts and the others. Videos consist of shots and we use latent variables to account for the mutually complementary cues within and across shots. Concept labels of shots are scarce and noisy. We introduce a simple and effective technique to make our model robust to outliers. Our approach gives superior performance when it is tested on not only the queries seen at training but also novel queries, some of which consist of more concepts than the queries used for training.

Detection of Human, Legitimate Bot and Malicious Bot in Online Social Networks Based on Wavelets

Social interactions take place in environments that influence behaviours and perceptions of people. Nowadays, the users of Online Social Network (OSN) generate a massive amount of content based on social interactions. However, OSNs wide popularity and ease of access created a perfect scenario to practice malicious activities, compromising their reliability. To detect automatic information broadcast in OSN, we developed a wavelet-based model which classifies users as being human, legitimate robot or malicious robot, as a result of spectral patterns obtained from users' textual content. We create the feature vectors from the Discrete Wavelet Transform (DWT) along with a weighting scheme called Lexicon Based Coefficient Attenuation (LBCA). In particular, we induce a classification model using the Random Forest algorithm over two real Twitter datasets. The corresponding results show the developed model achieved an average accuracy of 94.47% considering two different scenarios: single theme and miscellaneous theme.

Combining Facial Parts For Learning Gender, Ethnicity and Emotional State Based on RGB-D Information

With the success of emerging RGB-D cameras such as the Kinect sensor, com- bining the shape (depth) and texture information to improve the quality of recognition became a trend among computer vision researchers. In this work, we address the problem of face classification in the context of RGB images and depth data. Inspired by the psychological results for human face perception, this paper focuses on (i) finding out which facial parts are most effective at making the difference for some social aspects of face perception (gender, ethnicity and emotion state), (ii) determining the optimal decision by combining the decision rendered by the individual parts, and (iii) extracting the promising features from RGB-D faces in order to exploit all the potential that this data provide. Experimental results on EurecomKinect Face and CurtinFaces databases show that the proposed approach improves the recognition quality in many use cases.

Spatially Coherent Feature Learning for Pose-invariant Facial Expression Recognition

Feature learning has enjoyed much attention and achieved good performance in recent studies of image processing. Unlike the settings often assumed there, far less labeled data is typically available for training emotion classification systems. And in most of the current works the learning-based features are always learned from a full face image and acted as independent with each other. It lacks the power to describe the visually coherent facial images. Our method is therefore designed with the goal of simplifying the problem domain by removing expression irrelevant factors from the input images, with a key region-based mechanism. This, in an effort to reduce the amount of data required to effectively train the feature learning methods. Meanwhile, we can construct geometric constraints between the key regions and its detected positions. To this end, we introduce a Spatially Coherent feature learning method for Pose-invariant FER (SC-PFER). In our model, we first perform face frontalization through a 3D pose normalization technique, which could normalize pose while preserving the identity information through synthesizing frontal faces for facial images with arbitrary views. Subsequently, we select a sequence of key regions around 51 key points in the synthetic frontal face images for efficient unsupervised feature learning. Finally, We introduce a linkage structure over the learning-based features and the corresponding geometry information of each key region to encode the dependencies of the regions. Our method, on the whole, does not require training multiple models for each specific pose and avoid separate training and parameter tuning for each pose. Extensive experiments on three benchmark datasets show that our approach leads to stable and robust recognition performance, and outperforms several well-established FER methods.

Data Musicalization

We propose data musicalization, i.e., automated composition of music based on given data, as an approach to perceptualizing information. The aim of data musicalization is to evoke subjective experiences in the user rather than just convey unemotional information. We illustrate data musicalization by introducing several novel applications: one that perceptualizes physical sleep data as music, several ones that artistically composes music inspired by the sleep data, one that musicalizes on-line chat conversations to provide perceptualization of liveliness of a discussion, and one that uses musicalization in a game-like mobile application to allow its users to produce music. We also present a preliminary empirical evaluation of chat musicalization suggesting that some features of online conversations are naturally represented as music. We provide a number of electronic samples of music produced by the different musicalization applications so readers may judge the aesthetic pleasure and artistic quality themselves.

Introduction to the Special Section on Multimedia Computing and Applications of Socio-Affective Behaviors in the Wild

DeepProduct: Mobile Product Search with Portable Deep Features

Features extracted by deep networks have been popular in many visual search tasks. This paper studies deep network structures and training schemes for mobile visual search. The goal is to learn an effective yet portable feature representation that is suitable for bridging the domain gap between mobile user pho- tos and (mostly) professionally taken product images, while keeping the computational cost acceptable for mobile based applications. The technical contributions are two-fold. First, we propose an alternative of the contrastive loss popularly used for training deep Siamese networks, namely robust contrastive loss, where we relax the penalty on some positive pairs to alleviate overfitting. Second, a simple multi-task fine-tuning scheme is leveraged to train the network, which not only utilizes knowledge from the provided training photo pairs, but also harnesses additional information from the large ImageNet dataset to regularize the fine-tuning process. Extensive experiments on challenging real-world datasets demonstrate that both the robust contrastive loss and the multi-task fine-tuning scheme are effective, leading to very promising results with a time cost suitable for mobile product search scenarios.

Multi-feature Selection for 3D Human Action Recognition

Main stream approaches for 3D human action recognition usually combine the depth and the skeleton feature to improve the recognition accuracy. However, this strategy may result in high feature dimension and low discrimination due to the redundant of feature vector. In order to solve this drawback, a multi-feature selection approach for 3D human action recognition is proposed in this paper. First, three novel single-modal features are proposed to respectively describe depth appearance, depth motion, and skeleton motion. Second, a classification entropy of random forest is used to evaluate the discrimination of depth appearance based feature. Furthermore, one of the three features is selected to recognize the sample according to the discrimination evaluation. Experimental results show that the proposed multi-feature selection significantly outperforms single-modal feature and other feature fusion based approaches.

Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention

Image captioning has been recently gaining a lot of attention thanks to the impressive achievements shown by deep captioning architectures, which combine Convolutional Neural Networks to extract image representations, and Recurrent Neural Networks to generate the corresponding captions. At the same time, a significant research effort has been dedicated to the development of saliency prediction models, which can predict human eye fixations. Even though saliency information could be useful to condition an image captioning architecture, by providing an indication of what is salient and what is not, research is still struggling to incorporate these two techniques. In this work, we propose an image captioning approach in which a generative recurrent neural network can focus on different parts of the input image during the generation of the caption, by exploiting the conditioning given by a saliency prediction model on which parts of the image are salient and which are contextual. We show, through extensive quantitative and qualitative experiments on large scale datasets, that our model achieves superior performances with respect to captioning baselines with and without saliency, and to different state of the art approaches combining saliency and captioning.

Sequential Articulated Motion Reconstruction from a Monocular Image Sequence

In this paper, we present a sequential method to reconstruct articulated poses in three dimensions from monocular sequences. This is challenging because of the inherent depth ambiguities, high dimensionality and complexity of human motion. The approach models the human movement on kinematics manifold with the tangent bundle, which allows for a natural geometrical representation of the articulated motion. Combining with a second order stochastic dynamic model which is based on the Markov hypothesis, we generalize the Extended Rauch Tung Striebel smoother to Riemannian manifold to estimate subsequent a limited number of frames. Due to the movement might invalidate the Markov hypothesis when body is impacted by external forces. Hence, based on evidence of the current 2D observation, the current estimation is rened in a feasible solution region consisted by the previous and estimated poses. This region is called simplex, in which each element can be represented by a convex hull of all ingredients. We show that resolving this problem is equivalent to solving a convex optimization problem with the simplicial constraint. This formulation accords with the kinematic principle and the temporal-spatial continuity of the articulated motion, thus the reconstruction ambiguity can be alleviated essentially. Empirical evaluation conducted on multiple synthetic sequences of CMU and HDM05 motion capture dataset, shows that the proposed approach achieves greater accuracy over state-of-the-art baseline. Further, the proposed approach outperforms two baselines on the real sequences of Human3.6m motion capture dataset.

Can You See What I See? Quality of Experience Measurements of Mobile Live Video Broadcasting

Broadcasting live video directly from mobile devices is rapidly gaining popularity with applications like Periscope and Facebook Live. The Quality of Experience (QoE) provided by these services comprises many factors, such as quality of transmitted video, video playback stalling, end-to-end latency, and impact on battery life, and they are not yet well understood. In this paper, we examine mainly the Periscope service through a comprehensive measurement study and compare it in some aspects to Facebook Live. We shed light on the usage of Periscope through analysis of crawled data and then investigate the aforementioned QoE factors through statistical analyses as well as controlled small scale measurements using a couple of different smartphones and both versions, Android and iOS, of the two applications. We report a number of findings including the discrepancy in latency between the two most commonly used protocols RTMP and HLS, surprising surges in bandwidth demand caused by the Periscope apps chat feature, substantial variations in video quality, poor adaptation of video bitrate to available upstream bandwidth at the video broadcaster side, and significant power consumption caused by the applications.

PMS: A Novel Scale-Adaptive and Quality-Adaptive Hybrid P2P/Multi-Source Solution for Live Streaming

Single-source HTTP Adaptive Streaming protocols (HAS), such as MPEG-DASH, have become the de-facto solutions to deliver live video over the Internet. By avoiding buffer stalling events that are mainly caused by the lack of throughput at client or at server side, HAS protocols increase end-users Quality of Experience (QoE). We propose to extend HAS capabilities to a pragmatic HAS-compliant multi-source protocol that simultaneously utilizes several servers: MS-Stream. MS-Stream aims at offering high QoE live content delivery by exploiting expanded bandwidth and link diversity in distributed heterogeneous infrastructures. By leveraging on end-users connectivity capacities, we further extend the QoE and scalability capabilities of our proposal and we expose a hybrid P2P/Multi-Source live-streaming solution: PMS. PMS is a distributed streaming solution trading-off the systems scalability and the end-users QoE. The bitrate adaptation algorithm relies on global and local indicators characterizing the capacity and efficiency of the entire system. This paper exposes our contribution in building a lightweight pragmatic and evolving solution utilizing both P2P and DASH to achieve low cost live-content delivery at high QoE.

Full 3D Reconstruction of Non-Rigidly Deforming Objects

In this work, we discuss enhanced full 360° 3D reconstruction of dynamic scenes containing non-rigidly deforming objects using data acquired from commodity RGB-D or 3D cameras. Several approaches for enhanced and full 3D reconstruction of non-rigid objects have been proposed in the literature, but they suffer from several limitations due to requirement of a template, inability to tackle large local deformations and topology changes, inability to tackle highly noisy and low-resolution data, and inability to produce on-line results. We target on-line and template-free enhancement of the quality of noisy and low-resolution full 3D reconstructions of dynamic non-rigid objects acquired with a fully calibrated multi-view system. For this purpose, we propose a recursive dynamic multi-frame 3D super-resolution scheme for noise removal and resolution enhancement of 3D measurements, of non-rigidly deforming objects.The proposed scheme tracks the position and motion of each 3D point at every-time step by making use of the current acquisition and the result of the previous iteration. The affects of system blur due to per-point tracking are subsequently tackled by introducing a novel and efficient multi-level 3D bilateral total variation regularization. These characteristics enable the proposed scheme to handle large deformations and topology changes accurately. A thorough evaluation of the proposed scheme on both real and simulated data is carried out. The results show that the proposed scheme improves upon the performance of the state-of-art methods and is able to accurately enhance the quality of low-resolution and highly noisy 3D reconstructions while being robust to large local deformations.

SABR: Network Assisted Content Distribution for QoE-driven Adaptive Bitrate Video Streaming

State-of-the-art Software Defined Wide Area Networks (SD-WANs) provide the foundation for flexible and highly resilient networking. In this work we design, implement and evaluate a novel architecture (denoted SABR) that leverages the benefits of SDN to provide network assisted Adaptive Bitrate Streaming. With clients retaining full control of their streaming algorithms we clearly show that by this network assistance, both the clients and the content providers benefit significantly in terms of QoE and content origin offloading. SABR utilizes information on available bandwidths per link and network cache contents to guide video streaming clients with the goal of improving the viewers QoE. In addition, SABR uses SDN capabilities to dynamically program flows to optimize the utilization of CDN caches. Backed by our study of SDN assisted streaming we discuss the change in the requirements for network-to-player APIs that enables flexible video streaming. We illustrate the difficulty of the problem and the impact of SDN-assisted streaming on QoE metrics using various well established player algorithms. We evaluate SABR together with state-of-the-art DASH quality adaptation algorithms through a series of experiments performed on a real-world, SDN-enabled testbed network with minimal modifications to an existing DASH client. In addition, we compare the performance of different caching strategies in combination with SABR. Our trace-based measurements show the substantial improvement in cache hitrates and QoE metrics in conjunction with SABR indicating a rich design space for jointly optimized SDN-assisted caching architectures for adaptive bitrate video streaming applications.

QoE-aware OTT-ISP Collaboration in Service Management: Architecture and Approaches

It is a matter of fact that the Quality of Experience (QoE) has become one of the key factors that determine whether a new multimedia service will be successfully accepted by the final users. Accordingly, several QoE models have been developed with the aim of capturing the perception of the user by considering as many influencing factors as possible. However, when it comes to adopt these models in the management of the services and networks, it frequently happens that no one single provider has access to all the tools to either measure the influencing factor parameters or controlling the delivered quality. In particular, it often happens to the Over The Top (OTT) and Internet Service Provider (ISP), which act with complementary roles in the service delivery over the Internet. On the basis of this consideration, in this paper we first highlight the importance of a possible OTT-ISP collaboration for a joint service management in terms of technical and economic aspects. Then, we propose a general reference architecture for a possible collaboration and information exchange among them. Finally, we define three different approaches, namely: joint-venture, customer lifetime value-based, and QoE-fairness-based. The first aims to maximize the revenue by providing better QoE to customers paying more. The second aims to maximize the profit by providing better QoE to Most Profitable Customers (MPCs). The third aims to maximize QoE fairness among all customers. Finally, we conduct simulations to compare the three approaches in terms of QoE provided to the users, profit generated for the providers and QoE fairness.

Analytical Global Median Filtering Forensics Based on Moment Histogram

Median filtering forensics in images has gained wide attention from researchers in recent years because of its inherent nature of preserving visual traces. Although many image forensic methods are developed for median filtering detection, but probability of detection reduces under JPEG compression at low quality factors and for low resolution images. The feature set reduction is also a challenging issue among existing detectors. In this paper, the $19$ dimensional feature set is analytically derived from skewness and kurtosis histograms. The new feature set is exposed for the purpose of global median filtering forensics supported with exhaustive experimental results to thoroughly assess the benefits and limitations of our propose method. The efficacy of the method is tested on five popular image databases (UCID, BOWS2, BOSSBase, NRCS and DID) and found that the new feature set uncover filtering traces for moderate, low JPEG post-compression and low resolution operation. Our propose method yields lowest probability of error and largest area under the ROC curve for most of the test cases in comparison with previous approaches. The obtained results ensure that the propose method would provide an important tool to the field of passive image forensics.

Improved Audio Steganalytic Feature and Its Applications in Audio Forensics

Digital multimedia steganalysis has attracted wide attention during the past decade. Up to now, there are many algorithms for detecting image steganography. However, just a few works have been reported for audio steganalysis. Since the statistical properties between image and audio are quite different, those effective features in image steganalysis may not be suitable for audio directly. In this paper, we design an improved audio steganalytic feature set derived from both the time and Mel-frequency domains for detecting some typical steganography in the time domain, including LSB matching, Hide4PGP, and Steghide. The experimental results evaluated on different audio sources, including various music and speech clips as well as their decompressed versions with different bit rates, have shown that the proposed features significantly outperform the existing ones, especially for never compressed audio clips. What is more, we use the proposed features to detect and further identify some typical audio operations that would be probably used in audio tampering. The extensive experimental results have shown that the proposed features also outperform the related forensic methods, especially when the length of the audio clip is small, such as audio clips with 800 samples, which is very important in real forensic situation.

Towards Personalized Activity Level Prediction in Community Question Answering Websites

Community Question Answering (CQA) websites have become valuable knowledge repositories. Millions of internet users resort to CQA websites to seek answers to their encountered questions. CQA websites provide information far beyond a search on a site such as Google due to (1) the plethora of high quality answers, and (2) the capabilities to post new questions towards the communities of domain experts. While most research efforts have been made to identify experts or to preliminary detect potential experts of CQA websites, there has been a remarkable shift towards investigating how to keep the engagement of experts. Experts are usually the major contributors of high-quality answers and questions of CQA websites. Consequently, keeping the expert communities active is vital to improving the lifespan of these websites. In this paper, we present an algorithm termed PALP to predict the activity level of users of CQA websites. To the best of our knowledge, PALP is the first to address a personalized activity level prediction model for CQA websites. Furthermore, it takes into consideration user behavior change over time and focuses specifically on expert users. Extensive experiments on the Stack Overflow website demonstrate the competitiveness of PALP over existing methods.

Bibliometrics

Publication Years 2005-2018
Publication Count 567
Citation Count 3254
Available for Download 566
Downloads (6 weeks) 3026
Downloads (12 Months) 28102
Downloads (cumulative) 256265
Average downloads per article 453
Average citations per article 6
First Name Last Name Award
El Saddik Abdulmotaleb ACM Distinguished Member (2010)
ACM Senior Member (2008)
Ruzena R Bajcsy ACM Distinguished Service Award (2003)
ACM AAAI Allen Newell Award (2001)
ACM Fellows (1996)
Susanne Boll ACM Senior Member (2012)
Surendar Chandra ACM Senior Member (2009)
Shih Fu Chang ACM Fellows (2017)
Kuan-Ta Chen ACM Senior Member (2015)
Matthew L Cooper ACM Distinguished Member (2016)
ACM Senior Member (2010)
Jon Crowcroft ACM Fellows (2002)
Alberto Del Bimbo ACM Distinguished Member (2016)
Claudio A. Feijoo ACM Senior Member (2009)
Wen Gao ACM Fellows (2013)
Shahram Ghandeharizadeh ACM Software System Award (2008)
Soheil Ghiasi ACM Senior Member (2015)
Giorgio Giacinto ACM Senior Member (2010)
Andreas Girgensohn ACM Distinguished Member (2008)
Michael L Gleicher ACM Distinguished Member (2011)
Tracy Anne Hammond ACM Senior Member (2015)
Lynda Hardman ACM Distinguished Member (2014)
ACM Senior Member (2013)
Xian-Sheng Hua ACM Distinguished Member (2015)
ACM Senior Member (2009)
Tiejun Huang ACM Senior Member (2013)
Ramesh C Jain ACM Fellows (2003)
Wessel Kraaij ACM Distinguished Member (2017)
ACM Senior Member (2007)
James Kurose ACM Fellows (2001)
Ming Li ACM Fellows (2006)
Saverio Mascolo ACM Senior Member (2009)
Tao Mei ACM Distinguished Member (2016)
ACM Senior Member (2012)
Filippo Menczer ACM Distinguished Member (2013)
Saraju P. Mohanty ACM Senior Member (2010)
Klara Nahrstedt ACM Fellows (2012)
Nuria Oliver ACM Fellows (2017)
ACM Distinguished Member (2015)
ACM Senior Member (2013)
Dan R Olsen ACM Fellows (2006)
Beng Chin Ooi ACM Fellows (2011)
Ming Ouhyoung ACM Senior Member (2007)
Sethuraman Panchanathan ACM Senior Member (2009)
Joel Jose Rodrigues ACM Senior Member (2011)
Keith Ross ACM Fellows (2012)
Lawrence A Rowe ACM Fellows (1998)
Yong Rui ACM Fellows (2017)
ACM Distinguished Member (2009)
ACM Senior Member (2006)
Michael Rung-Tsong Lyu ACM Fellows (2015)
Henning Schulzrinne ACM Fellows (2014)
David Ayman Shamma ACM Distinguished Member (2016)
ACM Senior Member (2011)
Prashant J Shenoy ACM Distinguished Member (2009)
ACM Senior Member (2006)
Frank Shipman ACM Distinguished Member (2009)
Shervin Shirmohammadi ACM Senior Member (2017)
Ralf Steinmetz ACM Fellows (2001)
Richard Szeliski ACM Fellows (2008)
Bart Thomee ACM Senior Member (2016)
Donald F Towsley ACM Fellows (1997)
Matthew A Turk ACM Senior Member (2007)
Benjamin W. Wah ACM Fellows (2004)
Shuicheng Yan ACM Distinguished Member (2016)
HongJiang Zhang ACM Fellows (2007)
Hui Zhang ACM Fellows (2005)
Lei Zhang ACM Senior Member (2011)
Michelle Zhou ACM Distinguished Member (2009)
ACM Senior Member (2007)
Roger Zimmermann ACM Distinguished Member (2017)

First Name Last Name Paper Counts
Changsheng Xu 15
Tatseng Chua 14
Shuicheng Yan 14
Mohamed Hefeeda 14
Mohan Kankanhalli 10
Weitsang Ooi 10
Klara Nahrstedt 10
Pradeep Atrey 8
James She 8
Chenghsin Hsu 8
Tao Mei 7
Gheorghita Ghinea 7
Roger Zimmermann 7
Ralf Steinmetz 6
Qi Tian 6
Carsten Griwodz 6
Pål Halvorsen 6
Yong Rui 6
Shervin Shirmohammadi 5
Namunu Maddage 5
Svetha Venkatesh 5
Abdulmotaleb El Saddik 5
Pablo César 5
Mohammad Hossain 5
Meng Wang 5
Abdulmotaleb El Saddik 5
Balakrishnan Prabhakaran 5
Shihfu Chang 5
Hari Sundaram 5
Jitao Sang 5
Ming Cheung 5
Changwen Chen 5
Jiangchuan Liu 4
Dick Bulterman 4
Xiansheng HUA 4
Zongpeng Li 4
Shipeng Li 4
Richang Hong 4
Alberto Del Bimbo 4
Shueng Chan 4
Wolfgang Effelsberg 4
Ramesh Jain 4
Oluwakemi Ademoye 4
Gabriel Muntean 4
Prashant Shenoy 3
Marcel Worring 3
Laurencetianruo Yang 3
Géraldine Morin 3
Romulus Grigoraş 3
Séamus McLoone 3
Eckehard Steinbach 3
Tomás Ward 3
Zhengjun Zha 3
Nabil Sarhan 3
Jinhui Tang 3
Rongrong Ji 3
WeiQi Yan 3
Alan Hanjalic 3
Zheng Yan 3
Ruzena Bajcsy 3
Jiwu Huang 3
Wenwu Zhu 3
Si Liu 3
Mohamad Eid 3
Songqing Chen 3
Yong Rui 3
Alexandru Iosup 3
Robert Deng 3
Michael Zink 3
Shervin Shirmohammadi 3
Chuan Wu 3
Baochun Li 3
Kien Hua 3
Niall Murray 3
Luming Zhang 3
Guojun Qi 3
Ketan Mayer-Patel 3
Gregorij Kurillo 3
Munchoon Chan 2
Yuru Lin 2
Xiaofei He 2
Stephan Kopf 2
Matthias Baldauf 2
Nicu Sebe 2
Wanmin Wu 2
Gerald Friedland 2
Steven Hoi 2
Houqiang Li 2
Huanbo Luan 2
Rahul Potharaju 2
Vincent Oria 2
Liang Zhou 2
Kien Hua 2
Jongeun Cha 2
Zhikui Chen 2
Hongjiang ZHANG 2
Vamsidhar Gaddam 2
Ragnar Langseth 2
Min Song 2
Michael Gleicher 2
Chusong Chen 2
Yiping Hung 2
Brett Adams 2
Hendrik Knoche 2
Robert Kinicki 2
Zhenyu Yang 2
Hefei Ling 2
Xiangyu Wang 2
Xu Cheng 2
Shiqiang Yang 2
Xi Zhou 2
Ahsan Arefin 2
Susanne Boll 2
Qingchen Zhang 2
Geoff West 2
Bing Wang 2
Don Towsley 2
Gwendal Simon 2
Indranil Gupta 2
Ramesh Jain 2
Aisling Kelliher 2
Lawrence Rowe 2
Linjun Yang 2
Xue Li 2
Michael Pearce 2
Venugopal Vasudevan 2
Mohan Kankanhalli 2
Bin Cheng 2
Yiliang Zhao 2
Hanqing Lu 2
Jichao Sun 2
Michael Houle 2
Daniel Gatica-Perez 2
Francesco De Natale 2
Pascal Frossard 2
Yipeng Zhou 2
Yeongju Lee 2
Ming Li 2
Haizhou Li 2
Kasim Candan 2
Xiaoshan Yang 2
Xiaobai Liu 2
Xin Zhang 2
Yifang Yin 2
Jiebo Luo 2
Bineng Zhong 2
Simon Moncrieff 2
Chongwah Ngo 2
Xi Shao 2
Zhenwei Zhao 2
Derek Eager 2
Shuqiao Zhao 2
Fuhao Zou 2
Arijit Sur 2
Rui Yang 2
Meng Wang 2
Peiyu Lin 2
Chongwah Ngo 2
Christian Timmerer 2
Yuansong Qiao 2
Zechao Li 2
Wolfgang Kellerer 2
Jie Yang 2
Jun Ye 2
Jesse Jin 2
Bo Shen 2
Jamesze Wang 2
Azzedine Boukerche 2
Dag Johansen 2
Ajay Gopinathan 2
Stefan Wilk 2
Tianzhu Zhang 2
Surendar Chandra 2
Keqiu Li 2
Gang Hua 2
Bogdan Carbunar 2
Michael Needham 2
David Shamma 2
Deng Cai 2
Jia Li 2
Liang Chen 2
Xun Yang 2
Andreas Girgensohn 2
Lynn Wilcox 2
Mark Claypool 2
Wei Cheng 2
Houqiang Li 2
Jinjun Chen 2
Chunying Huang 2
Kuanta Chen 2
Wuchi Feng 2
Zhi Wang 2
Rynson Lau 2
Kiana Calagari 2
Sabu Emmanuel 2
Jiwu Huang 2
Siqi Shen 2
Jiunlong Huang 2
Min Xu 2
Stephen Gulliver 2
Xiaopeng Li 2
Hai Jin 2
Sebastien Mondet 2
Ming Yan 2
Peng Cui 2
Lawrence Rowe 2
Jingxi Xu 1
Hanwang Zhang 1
Adam Wolisz 1
Chihwei Lin 1
Shenchi Chen 1
Zhaoyang Zhang 1
Alvin Junus 1
Beomjoo Seo 1
Weiming Zhang 1
Nenghai Yu 1
Jingjing Fu 1
Chen Zhao 1
Maria Merani 1
Ligang Zheng 1
Lexing Xie 1
Bisheng Chen 1
Mansoor Ebrahim 1
Anastasios Delopoulos 1
Touradj Ebrahimi 1
Weisi Lin 1
Guillermo Cisneros 1
Zhihan Lv 1
Hao Yin 1
Chuang Lin 1
Mário Freire 1
Paulo Monteiro 1
Harry Agius 1
Michelle Zhou 1
Yunqing Shi 1
Zhengding Lu 1
Mikel Ariz 1
Tam Nguyen 1
Kazuya Sakai 1
Wei Guan 1
Tongtao Zhang 1
Håkon Stensland 1
Magnus Stenhaug 1
Mohan Kankanhalli 1
Raoul Rivas 1
Yongjin Liu 1
Yong Rui 1
Zhenhua Li 1
Fei Li 1
Francis Lau 1
Anne Tchounikine 1
Cuixia Ma 1
Xinxi Wang 1
Yi Wang 1
Guangda Li 1
James Wyllie 1
Maryvonne Miquel 1
Sethuraman Panchanathan 1
Nicola Conci 1
David Suter 1
Hongxun Yao 1
K Candan 1
Yue Gao 1
Luca Aiello 1
Shulong Tan 1
Jiajun Bu 1
Jason Grant 1
Xiao Xu 1
Christoph Bachhuber 1
Ashkan Sobhani 1
Xiaonan Luo 1
Fabrício Benevenuto 1
Xingang Liu 1
Jan Kleinrouweler 1
Sergio Cabrero 1
Phuoc Tran-Gia 1
Thierry Urruty 1
Piotr Wiśniewski 1
Stanislas Lew 1
Dan Simovici 1
Lester Loschky 1
James Walkerdine 1
Paul Sharkey 1
Shengwei Li 1
Chuanjun Li 1
Siqing Zheng 1
Henning Schulzrinne 1
Weiying Ma 1
Sunand Tullimas 1
Moses Pawar 1
Huiping Guo 1
Jim Kurose 1
Dimitrios Rafailidis 1
Weiqing Min 1
Eilwoo Baik 1
Amit Pande 1
Alberto Blanc 1
Fabrizio Guerrini 1
Shahid Akhtar 1
Sebastiaan Meijer 1
Nina Bhatti 1
Mikael Baillif 1
Lusong Li 1
Ed Kaiser 1
Ioannis Kompatsiaris 1
Rodrigo Laiola Guimarães 1
Ailong Wang 1
Ekaterina Gonina 1
Penporn Koanantakool 1
Flora Li 1
Yucyuan Liou 1
Yongtao Hu 1
Jan Kautz 1
Mohammad Pakravan 1
Jiangchuan Liu 1
John Boreczky 1
Víctor Valdés 1
Kuanwen Chen 1
Ying Zhang 1
Laura Natali 1
Guoping Qiu 1
Khaled Diab 1
Wojciech Matusik 1
Chehua Yeh 1
Brian Barsky 1
Yehia Elkhatib 1
Ioannis Arapakis 1
Luoqi Liu 1
Shengyang Chen 1
Francisco Luque 1
Iris Galloso 1
Tongyu Zhan 1
João Gomes 1
Wei Liu 1
Rodrigo De Oliveira 1
Ramesh Jain 1
Khechai Sim 1
Yan Huang 1
Jungsan Lee 1
Qingzhong Liu 1
Reinier Van Leuken 1
Laura Sesma-Sanchez 1
Sonia Porta 1
Bingbing Ni 1
Song Ci 1
Shu Shi 1
Yongfei Zhang 1
Bo Li 1
Farouk Messaoudi 1
Lahari Sengupta 1
Helmut Hlavacs 1
Jim Crawford 1
Phani Kotharu 1
Marco D'Orlando 1
César Teixeira 1
Rudinei Goularte 1
Ian Kegel 1
Andra Leurdijk 1
Luiz Soares 1
Guy Romano 1
Fei Hao 1
Geyong Min 1
Victor Leung 1
Edith Ngai 1
Idris Ibrahim 1
Hongxin Zhang 1
Robert Malkin 1
Datong Chen 1
Yang Yang 1
Sameer Samarth 1
Xiguo Ma 1
Eakta Jain 1
Jun Gao 1
Friederike Eyssel 1
Paula Navarrete 1
Liqi Shi 1
Wen Gao 1
Jinsoo Kim 1
Mark Coates 1
Kianoosh Mokhtarian 1
Kenneth Holmqvist 1
Niklas Carlsson 1
Xiaotao Liu 1
Garimella Sivaram 1
Suchendra Bhandarkar 1
Charles Krasic 1
Susmit Bagchi 1
Fulee Wang 1
Zhiwei Fang 1
Liminn Ang 1
Bo Cheng 1
Xiaolan Wang 1
Weiqiang Wang 1
Wanjoo Park 1
Wanmin Wu 1
Sigurd Ljodal 1
Hwaijung Hsu 1
Richard Pazzi 1
Shengfeng Qin 1
Lexing Xie 1
David Hsu 1
Zheng Lu 1
Mary Buchanan 1
Narasimha Reddy 1
Walter Bender 1
Brian Smith 1
Stefano Montanelli 1
Goffredo Haus 1
Laura Bratton 1
Yadong Mu 1
Meng Wang 1
Shin'ichi Satoh 1
Gaurav Bhatnagar 1
Zibin Wang 1
Simone Bianco 1
Mohamad Rabbath 1
Weiming Hu 1
Zhongfei Zhang 1
Rahul Chaudhari 1
Yandong Tang 1
Vineet Gokhale 1
Jussara Almeida 1
Howard Leung 1
Ruchira Naskar 1
Xiansheng Hua 1
Virgílio Almeida 1
Lorenzo Seidenari 1
Claudio Baecchi 1
Giuseppe Cofano 1
Anh Nguyen-Ngoc 1
Haiyang Wang 1
Andrzej Beben 1
Lijun Yin 1
Nishan Canagarajah 1
Norman Murray 1
Nicolas Georganas 1
Junhu Wei 1
Wentong Cai 1
Liangtien Chia 1
Byunghee Jung 1
Junehwa Song 1
Shengfeng He 1
Rong Cao 1
Junlin Ouyang 1
Hua Zhong 1
Zhiwen Yu 1
Zheng Yan 1
Yibin Li 1
Gang Chen 1
Nei Kato 1
Seungmin Rho 1
Yulei Wu 1
Denny Stohr 1
Wuchi Feng 1
Richardtianbai Ma 1
Tsunghan Tsai 1
Zhan Ma 1
Mario Proença 1
Saeed Aghaee 1
Mohammad Hoque 1
Matti Siekkinen 1
Michael Lew 1
Weiqi Luo 1
James Elder 1
Yi Chen 1
Trent Boulter 1
Christian Poellabauer 1
Abhidnya Deshpande 1
Yungyu Chuang 1
Xiansheng Hua 1
Kingshy Goh 1
Lauro Snidaro 1
Malcolm Slaney 1
Philip Chou 1
Wenhsiang Tsai 1
Rodrigo Schramm 1
Helena Nunes 1
Chihhao Chiu 1
Guangtao Zhai 1
Wenping Wang 1
Hongying Yang 1
Pablo Serrano 1
Chengwu Chen 1
Ke Chen 1
Zhengyu Deng 1
Tianzhu Zhang 1
Zhengchuan Chen 1
Yan Yan 1
Xianjun Hu 1
Ke Li 1
Yuri Ivanov 1
Mark Corner 1
William Seager 1
Wei Wei 1
Zheng Guo 1
Frédéric Boudon 1
Yong Wei 1
Tsungnan Lin 1
Ingmar Franke 1
Yowon Jeong 1
Yajuan Zhang 1
Jian Cheng 1
Yun Fu 1
Jiantao Zhou 1
Chonggang Wang 1
Ruyan Wang 1
Fanyu Bu 1
Yongdong Wu 1
Jun Liu 1
Xiangbo Shu 1
Jiajia Liu 1
Hirotaka Ujikawa 1
Chunhua Hu 1
Jia Hu 1
Mengbai Xiao 1
Xin Li 1
Zhenhua Li 1
Alexander Hauptmann 1
Medy Sanadidi 1
Carl Hogsden 1
Mika Aalto 1
Abdelwahab Hamam 1
Matthew Cooper 1
Fadi Dornaika 1
Robert Walz 1
Karsten Schwan 1
Joeri Van Der Velden 1
Jongseung Park 1
Irwin Sobel 1
Beitao Li 1
Gian Foresti 1
Heng Liu 1
Xiongkuo Min 1
Lei Zhang 1
Rainer Lienhart 1
Michael Driscoll 1
Kurt Keutzer 1
Yalin Lee 1
Tanima Dutta 1
Silvana Castano 1
Anne Arigon 1
Jing Liu 1
Yao Hu 1
Yanqiang Lei 1
Krzysztof Templin 1
Qiong Wu 1
Pierre Boulanger 1
Tarek Elgamal 1
Yingqing Xu 1
Longyu Zhang 1
Waichong Chia 1
Gareth Tyson 1
Shaoyan Sun 1
Bart Thomée 1
Benjamin Rainer 1
Eleni Kroupi 1
Haibo Li 1
Yang Yang 1
Quan Fang 1
Xue Li 1
Xuening Liu 1
Bo Li 1
Bashar Qudah 1
Susanne Boll 1
Jonathan Weir 1
Hongmei Liu 1
Hui Feng 1
Amit Sachan 1
Frederick Li 1
Lewis Li 1
Arantxa Villanueva 1
Victoria Ponz 1
Yanwei Liu 1
Espen Helgedagsrud 1
Henrik Alstad 1
Asgeir Mortensen 1
Deyu Chen 1
Harish Katti 1
Maximilian Ott 1
Xiaosong Lou 1
Xuanjia Qiu 1
Zhijie Shen 1
Hai Jin 1
Ryan Spicer 1
Yanming Shen 1
K Wijayaratne 1
Polle Zellweger 1
Luca Ludovico 1
Ramon Aparicio-Pardo 1
Kartik Gopalan 1
Dror Feitelson 1
Sergio Benini 1
Riccardo Leonardi 1
Giorgio Giacinto 1
Pedro Holanda 1
Jianting Guo 1
Yong Rui 1
Hangzai Luo 1
Maureen Thomas 1
Crysta Metcalf 1
Elaine Huang 1
Carlo Fantozzi 1
Yukwong Kwok 1
Kaikai Liu 1
Stuart Whyte 1
Richard Han 1
Qin Lv 1
Ruifan Li 1
Balasubramanian Raman 1
Yenyu Lin 1
Meng Wang 1
Liang Lin 1
Leon Pan 1
Waipun Yiu 1
Yosiyuki Takahasi 1
Kuowei Wu 1
Thanassis Rikakis 1
Qingfang Zheng 1
Joonwon Lee 1
Frederic Thouin 1
Parag Agarwal 1
Alejandro Jaimes 1
Junwen Wu 1
Mohan Trivedi 1
Xing Jin 1
Javed Khan 1
Jonathan Walpole 1
Li Jie 1
Wengang Zhou 1
Meng Wang 1
Yi Yang 1
Jiyan Wu 1
Sicong Liu 1
Beatrice Ionascu 1
Bin Song 1
Honggang Wang 1
Zenggang Xiong 1
Peter Knees 1
Ali El Essaili 1
Bo Zhang 1
Francesco De Natale 1
Jongtack Jung 1
Yunfei Chen 1
Jianguo Jiang 1
Patrick Flynn 1
Nicolas Alt 1
Simone Milani 1
Baojie Fan 1
Lianqing Liu 1
Haibin Yu 1
Edip Demirbilek 1
Hanhui Li 1
Linxie Tang 1
Jinhui Tang 1
Hassan Omar 1
Peng Li 1
Karel Vandenbroucke 1
Dimitri Schuurman 1
Steven Verstockt 1
Stefano D'Aronco 1
Luca De Cicco 1
Piotr Krawiec 1
Dario Comanducci 1
Ron Shacham 1
Suiping Zhou 1
Tiecheng Liu 1
John Kender 1
Suhuai Luo 1
Stefanos Antaris 1
Karine Pires 1
Jinhan Park 1
Yowjian Lin 1
Gang Peng 1
Lan Huang 1
Dan Tsafrir 1
Jixiang Du 1
Jialin Peng 1
Hao Zhang 1
Philipp Gysel 1
Maaike De Boer 1
Nicola Adami 1
Ana Silva 1
Peijia Zheng 1
Xupeng Lin 1
Philippe Bertin 1
Chinghsien Hsu 1
Zhan Qin 1
Jingbo Yan 1
Keke Gai 1
Cong Wang 1
Zhong Ming 1
Jinhui Tang 1
Kenichi Suzuki 1
Wei Chen 1
Feng Liu 1
Chingling Fan 1
Muzhou Xiong 1
Suneeta Agarwal 1
Neeraj Kumar 1
Adelelu Jia 1
Chuohao Yeo 1
Thomas Haenselmann 1
Ioannis Ivrissimtzis 1
Sasu Tarkoma 1
Feng Wang 1
Ning Liu 1
Yirong Zhuang 1
Marco Grangetto 1
Lorenzo Bovio 1
Jianke Zhu 1
Derek Bunn 1
Hongjiang Zhang 1
Naghmeh Khodabakhshi 1
Tom Malzbender 1
Munmun De Choudhury 1
Prabin Bora 1
Ellen Do 1
Ke Gu 1
Xiaokang Yang 1
José MartíNez 1
Bo Geng 1
Albert Banchs 1
Zheng Yan 1
Shengsheng Qian 1
Piotr Didyk 1
Jingdong Wang 1
Qi Wang 1
Xuyong Yang 1
Lei Pang 1
Mulin Chen 1
Stefano Petrangeli 1
Filip De Turck 1
Jean Vesin 1
Junliang Xing 1
Jinye Peng 1
Julia Sussner 1
Lex Stein 1
Mingjie Jiao 1
Sergio Canazza 1
Wenyan Hu 1
Min Liang 1
Fraser Blackmun 1
Meiyii Lim 1
Ross Maciejewski 1
Seshadri Venkatagiri 1
Michael Wallick 1
Howard Wactlar 1
Herman Engelbrecht 1
Shihyao Lin 1
John Shea 1
Konstantin Pogorelov 1
Changnian Zhang 1
Wenkuang Kuo 1
Weiwei Xu 1
Shengmin Liu 1
Jaegeuk Kim 1
Feng Liu 1
Prakash Kolan 1
Bo Yang 1
Chris Bleakley 1
Jack Jansen 1
Hsinmin Wang 1
Robert Rieger 1
Ashvin Goel 1
James Clark 1
Dan Guo 1
Zhaoqing Pan 1
Qinghao Hu 1
Oryina Akputu 1
Yuan Yang 1
Maria Sapino 1
Rodrigo Ceballos 1
Hao Qin 1
Xingzi Wen 1
Shangguang Wang 1
Ao Zhou 1
Fangchun Yang 1
Francisco Herrera 1
Fang Xu 1
Wei Wang 1
Haibo Chen 1
Meihui Zhang 1
Kianlee Tan 1
Hanwang Zhang 1
Alaa Halawani 1
Manoj Prasad 1
Tracy Hammond 1
Yue Gao 1
Hui Zhang 1
Branka Lakic 1
Henrique Da Silva 1
Wei Jiang 1
Mauro Cherubini 1
Arthur Money 1
John Kassebaum 1
Rafael Cabeza 1
Bo Wang 1
Jinqiao Wang 1
Abu Rahman 1
Ulrich Newmann 1
Pooja Agarwal 1
Felix Yu 1
Vincent Charvillat 1
Mikkel Næss 1
Junliang Xing 1
Kai Hwang 1
Tatsheng Chua 1
Kanav Kahol 1
Priyamvada Tripathi 1
Troy McDaniel 1
Daqing Zhang 1
Markus Schedl 1
Yonghong Tian 1
Menglin Jiang 1
Mingju Wu 1
Shingchern You 1
Gerald Kunzmann 1
Xuanhui Wang 1
Dong Xu 1
Ou Wu 1
Yuching Lin 1
Subhabrata Bhattacharya 1
Fairouz Hussein 1
Yunsheng Yang 1
Jean Grégoire 1
Subhasis Chaudhuri 1
Edmond Ho 1
Shojiro Nishio 1
Parisa Pouladzadeh 1
Kaoru Ota 1
Marco Bertini 1
Maha Abdallah 1
Wanchun Dou 1
Zhangyu Chang 1
Jun Mi 1
Derjiunn Deng 1
Mi Jing 1
Cees Snoek 1
Lingjyh Chen 1
Viktor Eide 1
Huahui Wu 1
Jianfei Cai 1
Yicheng Tu 1
Joel Rodrigues 1
Long Vu 1
Jin Liang 1
Matthew White 1
Dhiraj Joshi 1
Pietro Pala 1
Wanlei Zhao 1
S Chan 1
Marek Meyer 1
Mingfang Weng 1
Chenghsin Hsu 1
Robert Pless 1
Mark Hendrikx 1
Yantao Zheng 1
W Culbertson 1
Lifeng Sun 1
Matthew Turk 1
Richard Szeliski 1
Zixia Huang 1
Xianglong Liu 1
Yadong Mu 1
Bo Lang 1
Haojun Wu 1
Weita Chu 1
Yizhou Yu 1
Xiangyang Wang 1
Haakon Riiser 1
Xinmei Tian 1
Paul Patras 1
Zhong Zhou 1
Lei Cao 1
Minghsuan Yang 1
Liquan Shen 1
Liqiang Nie 1
Haitao Li 1
Qinghua Huang 1
Song Tan 1
Tiberio Uricchio 1
Andrea Ferracani 1
Sergio Mena 1
Cong Zhang 1
Jordi Batalla 1
Nacim Ihadaddene 1
Paul Dickerson 1
Herngyow Chen 1
Surong Wang 1
Srisakul Thakolsri 1
Elaine Chew 1
Adrien Joly 1
Yu Zhang 1
Jaling Wu 1
Yang Li 1
Shihchia Huang 1
Prasant Mohapatra 1
Tyler Ballast 1
Shannon Chen 1
Juha Vierinen 1
Philippe Mulhem 1
Soheil Ghiasi 1
Julie Porteous 1
Luca Piras 1
João Cardoso 1
Olga Goussevskaia 1
Adlen Ksentini 1
Radu Mariescu-Istodor 1
Yuli Gao 1
Xiangyang Xue 1
Mika Tuomola 1
Terence Wright 1
Niccolò Pretto 1
Elizabeth Papadopoulou 1
M Williams 1
Junho Ahn 1
John Oommen 1
Hengtao Shen 1
Mauricio Orozco 1
John Gilmore 1
Sanjeev Koppal 1
Thomas De Lange 1
Saraju Mohanty 1
Xue Liu 1
Miguel Nussbaum 1
Yinpeng Chen 1
Dawoon Jung 1
Tianzhu Zhang 1
Nishanth Sastry 1
Jeroen Famaey 1
Carlos Martin 1
Shafiq Réhman 1
Murat Russell 1
Sen Wang 1
Pedro Inácio 1
Daniel Ellis 1
Dong Xu 1
Caiming Zhang 1
Qiang Chen 1
Weishinn Ku 1
Shujie Liu 1
Roy Campbell 1
Brian Lee 1
Junshi Huang 1
Anoop Rajagopal 1
Qiufang Fu 1
Weisong Shi 1
Xueqi Cheng 1
Wolfgang Klas 1
Hiranmay Ghosh 1
Q Wu 1
Wen Gao 1
Dirk Staehle 1
Jiali Li 1
Xiangnan Kong 1
Sukkyu Lee 1
Jihoon Ryoo 1
Philipp Sandhaus 1
Haiqiang Zuo 1
Xiaotong Yuan 1
Joan Biel 1
Jiebo Luo 1
Giancarlo Calvagno 1
Hao Hu 1
Shuai Wang 1
Huijie Fan 1
Huaici Zhao 1
Zhuo Su 1
Loyao Yeh 1
Kevin Curran 1
Keith Ross 1
Yanjiang Yang 1
Andrzej Chydziñski 1
Dorothy Rachovides 1
John Rae 1
Busung Lee 1
Senching Cheung 1
Sakirearslan Ay 1
Prabhu Natarajan 1
Dilip Krishnappa 1
Jyh Jang 1
Bingkun Bao 1
Bohao Chen 1
Philipp Schaber 1
Christoph Wesch 1
Petri Vuorimaa 1
Xiao Ke 1
Mohammad Motamedi 1
Andre Beck 1
Jiwu Huang 1
Paichet Ng 1
Kangeun Jeon 1
Shelley Buchinger 1
Renan Cattelan 1
Noel Massey 1
Jidi Zhao 1
Peter Fröhlich 1
Edel Jennings 1
Shivakant Mishra 1
Fangxiang Feng 1
Ibrar Ahmad 1
Emily Provost 1
Yi Yang 1
Julio Valdés 1
Olivier Meur 1
Peter Schmidt 1
Zeno Albisser 1
Giorgos Karafotias 1
Akiko Teranishi 1
Georgios Korres 1
Bharat Bhargava 1
Pablo Nunnez 1
Minoru Nakayama 1
Shahin Shayandeh 1
João Cangussu 1
Marcus Nyström 1
Chihyi Chiu 1
Peisong Wang 1
Yue Wu 1
Kahphooi Seng 1
Shuhui Jiang 1
Kuangyu Chang 1
Rynson Lau 1
Yuanyan Tang 1
Yinghua Li 1
Hui Mao 1
Jiqing Wen 1
Boran Yang 1
Jianxun Liu 1
Wei Lei 1
Meikang Qiu 1
Lei Shu 1
Tony Sun 1
Xiangjun Li 1
Shuvendu Rana 1
Shenghua Zhong 1
David Scruton 1
Charith Perera 1
Alan Blackwell 1
Hayley Hung 1
Girija Chetty 1
Huaxin Xu 1
Chongwah Ngo 1
Victor Pomponiu 1
Marco Botta 1
Davide Cavagnino 1
Samia Bouyakoub 1
Xuwen Yu 1
Dan Olsen 1
Hong Shen 1
Dong Liu 1
Yichuan Wang 1
Tingan Lin 1
Yijuan Lu 1
Yiqun Li 1
Dan Gelb 1
Wuchang Feng 1
Yisheng Xu 1
Evangelos Georganas 1
Hari Gupta 1
Benjamin Wah 1
Sibaji Gaj 1
Chihyi Chiu 1
Nimesha Ranasinghe 1
Ankita Lathey 1
Dacheng Tao 1
Qianqian Hu 1
Xiaofei He 1
Hareesh Ravi 1
Arige Subramanyam 1
Jiangchuan Liu 1
Ming Ouhyoung 1
Maxim Claeys 1
Steven Latré 1
Hui Xu 1
Zhenhui Yuan 1
Shengzhong Feng 1
Mao Ye 1
Feng Qiu 1
Jiebo Luo 1
Chinchen Chang 1
Thanh Dang 1
Hui Tang 1
Axel Carlier 1
Øystein Landsverk 1
Tao Mei 1
Ramakrishnan Kalpathi 1
Xiaolan Fu 1
Daviddagan Feng 1
Jianming Lv 1
Dongyu Liu 1
Jinhui Tang 1
Lynda Hardman 1
Alfio Ferrara 1
Qiang Chen 1
Xiangyu Chen 1
Anupama Mallik 1
Santanu Chaudhury 1
Luntian Mou 1
Jyh Jang 1
Hwangnam Kim 1
Seungho Yoo 1
Homer Chen 1
Rossano Schifanella 1
Razvan Pascanu 1
Yoshua Bengio 1
Filippo Menczer 1
Chun Chen 1
Bin Xu 1
Giuseppe Lisanti 1
Svebor Karaman 1
Iacopo Masi 1
Tiago Rodrigues 1
Maike Erdmann 1
Takahiro Hara 1
Yeehong Yang 1
Sailesh Bharati 1
Divyashri Bhat 1
Saverio Mascolo 1
Jun Wang 1
Dimitris Agrafiotis 1
Anthony Steed 1
David Roberts 1
Stephen TURNER 1
Chika Oshima 1
Yi Chen 1
Sushil Jajodia 1
Rui Li 1
Yintzu Lin 1
I Liu 1
Laura Toni 1
Mohsen Langroodi 1
Zhenhuan Gao 1
Qing Lei 1
John Lui 1
Maria Pimentel 1
Nina Hall 1
Joe Tullio 1
Frank Bentley 1
Johnny Shen 1
Diana Bental 1
Ioannis Mimtsoudis 1
Mike Gartrell 1
Wei Chen 1
Chunghua Chu 1
Yelin Kim 1
Ebroul Izquierdo 1
Khimya Khetarpal 1
Jun Zhang 1
Meng Wang 1
Dinh Phung 1
Renato Verdugo 1
Shahram Ghandeharizadeh 1
David Geerts 1
Martina Sasse 1
Oleg Komogortsev 1
Pochiang Lin 1
Sebastian Pannasch 1
Rainer Groh 1
Yohan Jin 1
Zhedong Zheng 1
Yunli Lee 1
Chusong Chen 1
Kai Li 1
Xiaopeng Li 1
Dapeng Wu 1
Cong Liu 1
Jingdong Wang 1
Maryam Amiri 1
Hussein Al Osman 1
Fan Wu 1
Kun Wang 1
Qingquan Zhu 1
Shenglong Zou 1
Chihfan Hsu 1
Yijing Jiang 1
Yaujim Yip 1
Bruno Silva 1
Yan Liu 1
Guangjie Han 1
Abu Rahman 1
Ying Yang 1
Zhipeng Chen 1
Rossano Gaeta 1
Christoph Rensing 1
Abdelkader Belkhir 1
Grenville Armitage 1
Wengang Zhou 1
Donald Tanguay 1
Ramesh Jain 1
Michael Goss 1
Edward Chang 1
Shihchuan Chiu 1
Sanguok Kum 1
Ingrid Visentini 1
Wenjun(Kevin) Zeng 1
Liangliang Cao 1
Yunhua Deng 1
Xindi Shang 1
Dongni Ren 1
Brian Whitman 1
Viswanathan Swaminathan 1
Noah Snavely 1
Aditya Kanetkar 1
Yong Wang 1
Abdel Al Tamimi 1
Panpan Niu 1
Tore Endestad 1
Paul Vigmostad 1
Xinglei Zhu 1
Shuqiang Jiang 1
Ping An 1
Ralf Steinmetz 1
Zhiyu Wang 1
Yugang Jiang 1
Haiwei Dong 1
Vasileios Papapanagiotou 1
Wengang Zhou 1
Hairong Liu 1
Yihan Pu 1
Bo Fu 1
Dick Epema 1
Roelof Van Zwol 1
Sina Jafarpour 1
Michael Mandel 1
Mengdi Xu 1
Mubarak Shah 1
Eckehard Steinbach 1
Abdulsalam Yassine 1
Massimo Piccardi 1
Yang Cong 1
Jacky Chan 1
Jonathan Doherty 1
Weihua Zhuang 1
Florian Vandecasteele 1
Gary Wolverton 1
Peter Phillips 1
David Bull 1
Stephen Davies 1
David Ott 1
Yoonjoon Lee 1
Jirong Wen 1
Rich Edgecomb 1
Lingyu Duan 1
Shiping Chen 1
Anlei Dong 1
Joseph Peters 1
Tzicker Chiueh 1
Yoav Etsion 1
Chitra Madhwacharyula 1
Duansheng Chen 1
Hui Li 1
Yijie Lu 1
Bruno Guilherme 1
Yousef Sharrab 1
Pasi Fränti 1
Liwei He 1
Cha Zhang 1
Giang Nguyen 1
Ashkan Yazdani 1
Claudio Feijóo 1
Zengfu Wang 1
Xin Zhao 1
Quan Sheng 1
Chaoyi Pang 1
Alexander Loui 1
Nuria Oliver 1
Andrew Sung 1
Mengyu Qiao 1
Pavel Korshunov 1
Danny Kilis 1
Jinxia Liu 1
Xiangyu Chen 1
Kazi Alam 1
Yun Ye 1
Mahmoud Hashemi 1
Euiseok Kim 1
Marius Tennøe 1
Zhiyong Wang 1
Shaohui Mei 1
Mingyi He 1
Ye Wang 1
Tieying Zhang 1
Yuru Lin 1
Heng Qi 1
Ork Rooij 1
Wenyu Qu 1
Laura Teodosio 1
Augusto Celentano 1
Gaurav Harit 1
Tiejun Huang 1
Gianluigi Ciocca 1
Shunyun Hu 1
Hui Wang 1
Yihsuan Yang 1
Lexing Xie 1
Douglas Eck 1
Can Wang 1
Rahul Sukthankar 1
Burak Çizmeci 1
Kun Zeng 1
Jayakrishnan Nair 1
Taku Komura 1
Rajat Chakraborty 1
Paul McKevitt 1
Kotaro Nakayama 1
Danielle Sauer 1
Minhson Dao 1
Alan Ip 1
Fulvio Babich 1
Francesca Vatta 1
Ulf Myrestam 1
Xiaofei Liao 1
Zheng Zhang 1
Gunnar Harboe 1
Renfei Wang 1
Xitong Li 1
Xiaolin Li 1
James Williamson 1
Yogesh Rawat 1
Biao Zhu 1
Feng Xia 1
Nizar Sakr 1
Emil Petriu 1
Priyanka Singh 1
Ishwarya Thirunarayanan 1
Michael Riegler 1
Simone Santini 1
Phillipa Gill 1
Ram Dantu 1
Kalpathi Ramakrishnan 1
Jens Helmert 1
Boris Velichkovsky 1
Chaoyang Zhao 1
Hueifang Yang 1
Boyao Lin 1
Silvestro Poccia 1
Yue Zhang 1
Zhuo Wei 1
Conghuan Ye 1
Kui Ren 1
Jinyang Gao 1
Sheng Wang 1
Taotao Wu 1
Wang Miao 1
Geyong Min 1
Haozhe Wang 1
Chenhan Xu 1
Liangping Ma 1
Chienchung Shen 1
Yao Liu 1
Lei Guo 1
Guang Yang 1
Mario Gerla 1
Sunil Prabhakar 1
Shanyu Tang 1
Shivendra Shivani 1
Vasileios Mezaris 1
Laurencetianruo Yang 1
Amr Rizk 1
Cong Wang 1
Thomas Zinner 1
Jason Moore 1
Andrew Duchowski 1
Arzu Çöltekin 1
Carlo Colombo 1
Ziad Sakr 1
Manoranjan Dash 1
Kazushi Nishimoto 1
Norihiro Hagita 1
Thinh Nguyen 1
Dian Tjondronegoro 1
Bir Bhanu 1
Ragnhild Eg 1
Dahming Chiu 1
Sina Wetzel 1
Marc Davis 1
Abukari Yakubu 1
Hongbo Zhang 1
Klamer Schutte 1
Wessel Kraaij 1
Alberto Piacenza 1
Marc Cavazza 1
Ivica Rimac 1
Giulia Boato 1
Duc Dang-Nguyen 1
Luciana Pontello 1
Mingliang Zhou 1
Jianping Fan 1
Doug Williams 1
Marian Ursu 1
Inger Lindstedt 1
Vilmos Zsombori 1
Bin Cheng 1
Sixuan Ma 1
Xiping Hu 1
Junqi Deng 1
Florence Adegeye 1
Stefan Suette 1
Nick Taylor 1
Xiaojie Wang 1
Rachel Heck 1
Batu Truong 1
Chidansh Bhatt 1
Qianni Zhang 1
Tommy Nilsson 1
Jihad Alja'Am 1
Jukka Nurminen 1
Huajie Cui 1
Jonathan Foote 1
Amiel Heyde 1
Xin Liu 1
Austin Abrams 1
Xiangdong Zhou 1
Mankwan Shan 1
Harlyn Baker 1
Xiangwen Chen 1
Minghua Chen 1
Elisabeth André 1
Steven Seitz 1
Jin Yuan 1
Eric Battenberg 1
Jon Crowcroft 1
Hao Fu 1
Cláudiorosito Jung 1
Amorntip Prayoonwong 1
Konstantin Miller 1
Zhijie Shen 1
Shuang Wang 1
Wei Wu 1
Honggang Hu 1
Dan Miao 1
Yan Lu 1
Xuelong Li 1
Christos Diou 1
Steve Uhlig 1
Brian Lee 1
Vyas Sekar 1
Courtenay Cotton 1
Jian Li 1
Zhigang Deng 1
Xifeng Gao 1
Zhenhua Qu 1
Tim Bauman 1
Remco Veltkamp 1
Jun Tan 1
Minte Sun 1
Jian Dong 1
Suya You 1
Hoda Roodaki 1
Ahmed Hamza 1
Shanghong Zhao 1
Shuicheng Yan 1
Genliang Guan 1
Fawaz Alsulaiman 1
Juan Silva 1
Nishant Agarwal 1
Sigrun Eskeland 1
Scandar Copti 1
Frank Shipman 1
Wenbo He 1
Pablo Corro 1
Hungkhoon Tan 1
Guojun Qi 1
Anirban Mahanti 1
Brian Bailey 1
Mohammad Alsmirat 1
Musab Al-Hadrusi 1
Kang Li 1
Chiapin Wang 1
Seungho Lim 1
Kyuho Park 1
Jianjun Lei 1
Liang Zheng 1
Ming Wang 1
Junliang Chen 1
K Candan 1
Shao Huang 1
Weiwei Sun 1
Shuyuan Zhu 1
Hui Zhao 1
Tien Dinh 1
Bengchin Ooi 1
ShaoJie Tang 1
Liwei Kuang 1
Kai Qiu 1
Saleh Almowuena 1
Ming Zhang 1
Mian Dong 1
Frank Eliassen 1
Ole Granmo 1
Jørgen Michaelsen 1
Jianzhong Sun 1
Liping Zhang 1
Dick Epema 1
Andreas Lund 1
Damien Marshall 1
Chabane Djeraba 1
Bernard Mérialdo 1
Da Luo 1
Michael Lyu 1
Ramazan Ayguun 1

Affiliation Paper Counts
Hebei Academy of Sciences 1
Hunan University of Commerce 1
British Broadcasting Corporation 1
Sybase Inc. 1
Laboratoire de Biometrie et Biologie Evolutive, Villeurbanne 1
Austrian Institute of Technology 1
Orange Labs 1
Singapore University of Technology and Design 1
Laboratoire d'Automatique, Genie Informatique et Signal 1
Indian Institute of Technology Rajasthan 1
Guangdong University of Petrochemical Technology 1
University of Wales Trinity Saint David 1
FHS St. Gallen University of Applied Sciences 1
Microsoft Technology Centers 1
IBM Canada Ltd. 1
IBM China Company Limited 1
CSIRO Data61 1
NYU Tandon School of Engineering 1
National Taichung University of Science and Technology 1
South Dakota School of Mines & Technology 1
Universite Paris Sorbonne - Paris IV 1
Deakin University 1
Karolinska University Hospital 1
Tianjin University 1
Agder University College 1
Baerum Hospital 1
University of Coimbra 1
University of Surrey 1
Indiana University 1
IMAG 1
University of Canberra 1
Beijing University of Technology 1
National Taiwan Normal University 1
University of Delaware 1
North Georgia College & State University 1
National Taiwan Ocean University 1
University of Massachusetts Boston 1
National University of Defense Technology China 1
National Central University Taiwan 1
University of Missouri System 1
Sam Houston State University 1
University of Tokyo 1
Guangzhou University 1
University of Teesside 1
Center For Research And Technology - Hellas 1
University of Nebraska - Lincoln 1
Clemson University 1
National Chengchi University 1
Institute for Research in IT and Random Systems 1
University of Rochester 1
University of Edinburgh 1
Universidad de Granada 1
University of the Basque Country 1
State University of Londrina 1
New Mexico Institute of Mining and Technology 1
TELECOM ParisTech 1
Cancer Registry of Norway Institute of Population-Based Cancer Research 1
The University of North Carolina Wilmington 1
Dalian Maritime University 1
Kent State University 1
EURECOM Ecole d'Ingenieurs & Centre de Recherche en Systemes de Communication 1
Cisco Systems 1
Institut Dalle Molle D'intelligence Artificielle Perceptive 1
California State University Los Angeles 1
CIRAD 1
Indian Institute of Technology Roorkee 1
Japan National Institute of Information and Communications Technology 1
Pontifical Catholic University of Rio de Janeiro 1
Hebei University of Technology 1
Eindhoven University of Technology 1
Saarland University 1
York University Canada 1
University of Kuwait 1
Yarmouk University 1
University of Peshawar 1
Nanjing University of Information Science and Technology 1
HEC School of Management 1
Tata Consultancy Services India 1
General Hospital of People's Liberation Army 1
ITMO University 1
University of Qatar 1
Adobe Systems Incorporated 1
Samsung Electronics, India Software Operations Ltd. 1
Bowie State University 1
Sungkyul Christian University 1
National Institute of Technology Kurukshetra 1
Kansas State University 1
China Telecommunications 1
Thapar University 1
Advanced Telecommunications Research Institute International (ATR) 1
Guangdong Polytechnic Normal University 1
Royal Institute of Technology 1
University of Ontario Institute of Technology 1
MIT Media Laboratory 1
Henan University 1
Uppsala University 1
Northumbria University 1
Institute of High Performance Computing, Singapore 1
Southeast University China, Nanjing 1
Johns Hopkins University 1
Yale University 1
National Kaohsiung Marine University Taiwan 1
Google Inc. 1
National Changhua University of Education 1
Cornell University 1
Malmo University 1
Chung Hua University 1
Waterford Institute of Technology 1
Tohoku University 1
Hong Kong Polytechnic University 1
University of Massachusetts Dartmouth 1
Silesian Polytechnic University, Gliwice 1
University of California , Merced 1
National Research Council Canada 1
University of Minnesota Duluth 1
Harvard University 1
Cairo University 1
Florida Institute of Technology 1
University of Kent 1
Hohai University 1
King's College London 1
Auburn University 1
Air Force Research Laboratory Information Directorate 1
Open University 1
Incheon National University 1
University of Windsor 1
University of Zurich 1
INRIA Institut National de Rechereche en Informatique et en Automatique 1
Ca' Foscari University of Venice 1
China Agricultural University 1
Federal University of Bahia 1
Federal University of Sao Carlos 1
Zhejiang Wanli University 1
Hong Kong Baptist University 1
Eastman Kodak Company 1
Muroran Institute of Technology 1
University of Washington, Seattle 1
University of Pittsburgh 1
University of Bielefeld 1
University of Kentucky 1
Carleton University 1
Fuzhou University 1
Hongik University 1
National University of Tainan Taiwan 1
Nankai University 1
Vienna University of Technology 1
University of South Carolina 1
VMware, Inc 2
Indraprastha Institute of Information Technology Delhi 2
Charles Sturt University, Wagga Wagga 2
Kodak Research Laboratories 2
University of Stellenbosch 2
Ohio State University 2
Warsaw University of Technology 2
University of Modena and Reggio Emilia 2
Indian Institute of Technology, Kharagpur 2
Feng Chia University 2
University College Dublin 2
University of Houston 2
Federal University of Rio Grande do Sul 2
The University of North Carolina at Charlotte 2
National Chung Cheng University 2
Utrecht University 2
Australian National University 2
IBM Almaden Research Center 2
University of Adelaide 2
Telecom Research Center Vienna 2
Washington University in St. Louis 2
Goldsmiths, University of London 2
Queensland University of Technology 2
RMIT University 2
Japan Advanced Institute of Science and Technology 2
Technical University of Berlin 2
University of Reading 2
University of Milan - Bicocca 2
Oldenburger Forschungs- Und Entwicklungsinstitut fur Informatik-Werkzeuge Und -Systeme 2
University of Antwerp 2
Yuan Ze University 2
University of Waterloo 2
National Cheng Kung University 2
University of Nottingham 2
Florida International University 2
INSA Lyon 2
Instituto de Telecomunicacoes 2
Xi'an Jiaotong University 2
Indian Institute of Technology (Banaras Hindu University) 2
Alpen-Adria-Universität Klagenfurt 2
Leiden University 2
Netherlands Organisation for Applied Scientific Research - TNO 2
University of Oldenburg 2
Communication University of China 2
Johannes Kepler University Linz 2
University of Durham 2
Massachusetts Institute of Technology 2
Pace University 2
National Chi Nan University 2
University of Tehran 2
Nippon Telegraph and Telephone Corporation 2
University Michigan Ann Arbor 2
Roehampton University 2
Stevens Institute of Technology 2
Sharif University of Technology 2
Lund University 2
The University of Georgia 2
University of Regina 2
Texas State University-San Marcos 2
Swinburne University of Technology 2
Tokyo Institute of Technology 2
University of Cagliari 2
International Computer Science Institute 2
University of Sciences and Technology Houari Boumediene 2
Institut National de la Recherche Scientifique 2
DoCoMo Communications Laboratories Europe GmbH 2
National Institute of Telecommunications, Poland 2
Universidad Carlos III de Madrid 3
Hebrew University of Jerusalem 3
University of Sao Paulo 3
University of Salford 3
Fudan University 3
University of Wurzburg 3
Oregon State University 3
Indian Institute of Technology, Bombay 3
University of Saskatchewan 3
Institute of Acoustics Chinese Academy of Sciences 3
IBM Thomas J. Watson Research Center 3
University of Trieste 3
Singapore Management University 3
Georgia Institute of Technology 3
Binghamton University State University of New York 3
University of Alabama in Huntsville 3
Chongqing University of Posts and Telecommunications 3
East China Normal University 3
University of Notre Dame 3
University of Macau 3
Xi'an Institute of Optics and Precision Mechanics Chinese Academy of Sciences 3
Lancaster University 3
Osaka University 3
University of North Texas 3
Hunan University of Science and Technology 3
University of Sydney 3
University of Udine 3
University of Vienna 3
Stony Brook University 3
Universidad Autonoma de Madrid 3
Polytechnic Institute of Bari 3
Northeastern University 3
Research Organization of Information and Systems National Institute of Informatics 3
University of California, Riverside 3
Queen's University Belfast 3
University of California, San Diego 3
Shandong University 3
Umea University 3
Saint Francis Xavier University 3
Indian Institute of Technology, Delhi 3
University of Eastern Finland 3
Communaute d'Universites et d'Etablissements Lille Nord de France 3
Qatar Computing Research institute 3
Simula Research Laboratory 4
University of Beira Interior 4
University of Texas at San Antonio 4
Korea University 4
University of Illinois 4
University of Electronic Science and Technology of China 4
China University of Geosciences, Wuhan 4
Brigham Young University 4
University of Montreal 4
Telefonica 4
The University of British Columbia 4
University of Newcastle, Australia 4
State University of New York at Albany 4
National Taipei University of Technology 4
King Saud University 4
Indian Institute of Science, Bangalore 4
Liaoning Normal University 4
Harbin Institute of Technology 4
University of Bristol 4
University of Ulster 4
National Chiayi University 4
Queen Mary, University of London 4
University of Connecticut 4
Shanghai University 4
South China University of Technology 4
University of California, Los Angeles 4
University of California, Santa Barbara 4
University of Alberta 4
Nanjing University 4
Sunway University 4
New Jersey Institute of Technology 5
Texas A and M University 5
University of Toronto 5
Aristotle University of Thessaloniki 5
University of Brescia 5
Telecom Bretagne 5
McGill University 5
University of Padua 5
University of Wisconsin Madison 5
University of Queensland 5
University of Milan 5
Pontificia Universidad Catolica de Chile 5
Technical University of Madrid 5
University of Exeter 5
The University of North Carolina at Chapel Hill 5
Shanghai Jiaotong University 5
Northwestern Polytechnical University China 6
Indian Institute of Technology, Guwahati 6
University of Colorado at Boulder 6
Worcester Polytechnic Institute 6
National Chiao Tung University Taiwan 6
National Tsing Hua University 6
Technical University of Dresden 6
Pennsylvania State University 6
Inha University, Incheon 6
Purdue University 6
University of California, Irvine 6
Institute of Computing Technology Chinese Academy of Sciences 6
University College London 6
Microsoft Corporation 6
Shenyang Institute of Automation Chinese Academy of Sciences 7
University of Technology Sydney 7
Dublin City University 7
University of Florida 7
Peking University 7
George Mason University 7
University of Trento 7
Ghent University 7
Nanjing University of Science and Technology 7
Nanjing University of Post and TeleCommunications 7
Huaqiao University 7
University of Winnipeg 7
Athlone Institute of Technology 7
Microsoft Research 8
University of Calgary 8
University of Amsterdam 8
Chinese University of Hong Kong 8
Wayne State University 8
University of California, Davis 8
University of Turin 9
Heriot-Watt University, Edinburgh 9
HP Labs 9
The University of Hong Kong 9
University at Buffalo, State University of New York 9
Carnegie Mellon University 9
Xidian University 9
Center for Mathematics and Computer Science - Amsterdam 9
National University of Ireland, Maynooth 9
University of Cambridge 9
Federal University of Minas Gerais 10
Dalian University of Technology 10
Beihang University 10
FX Palo Alto Laboratory 10
Beijing University of Posts and Telecommunications 10
University of Mannheim 10
New York University Abu Dhabi 10
Universite de Toulouse 10
Yahoo Research Labs 10
Korea Advanced Institute of Science & Technology 10
Aalto University 11
Portland State University 11
Shenzhen University 11
Swiss Federal Institute of Technology, Lausanne 11
University of Southern California 12
Technical University of Munich 12
Brunel University London 12
University of Texas at Dallas 13
Motorola 13
University of Florence 13
Delft University of Technology 13
Curtin University of Technology, Perth 13
University of Central Florida 14
Technical University of Darmstadt 14
Zhejiang University 15
University of Massachusetts Amherst 15
Nanyang Technological University 16
Hefei University of Technology 17
University of California, Berkeley 17
Academia Sinica Taiwan 17
City University of Hong Kong 18
Institute of Automation Chinese Academy of Sciences 18
Institute for Infocomm Research, A-Star, Singapore 19
Columbia University 19
National Taiwan University 19
Sun Yat-Sen University 20
Tsinghua University 21
Huazhong University of Science and Technology 21
University of Science and Technology of China 24
University of Illinois at Urbana-Champaign 25
Arizona State University 26
University of Oslo 27
Hong Kong University of Science and Technology 28
Microsoft Research Asia 32
Simon Fraser University 34
Chinese Academy of Sciences 37
University of Ottawa, Canada 39
National University of Singapore 126

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)
Archive


2018
Volume 14 Issue 1s, February 2018  Issue-in-Progress
Volume 14 Issue 1, January 2018

2017
Volume 13 Issue 4, October 2017
Volume 13 Issue 3s, August 2017 Special Section on Deep Learning for Mobile Multimedia and Special Section on Best Papers from ACM MMSys/NOSSDAV 2016
Volume 13 Issue 3, August 2017
Volume 13 Issue 2, May 2017
Volume 13 Issue 1, January 2017

2016
Volume 12 Issue 5s, December 2016 Special Section on Multimedia Big Data: Networking and Special Section on Best Papers From ACM MMSYS/NOSSDAV 2015
Volume 12 Issue 4s, November 2016 Special Section on Trust Management for Multimedia Big Data and Special Section on Best Papers of ACM Multimedia 2015
Volume 12 Issue 4, August 2016
Volume 12 Issue 3, June 2016
Volume 12 Issue 2, March 2016

2015
Volume 12 Issue 1s, October 2015 Special Issue on Smartphone-Based Interactive Technologies, Systems, and Applications and Special Issue on Extended Best Papers from ACM Multimedia 2014
Volume 12 Issue 1, August 2015
Volume 11 Issue 4, April 2015
Volume 11 Issue 2s, February 2015 Special Issue on MMSYS 2014
Volume 11 Issue 3, January 2015

2014
Volume 11 Issue 2, December 2014
Volume 11 Issue 1s, September 2014 Special Issue on Multiple Sensorial (MulSeMedia) Multimodal Media : Advances and Applications
Volume 11 Issue 1, August 2014
Volume 10 Issue 4, June 2014
Volume 10 Issue 3, April 2014
Volume 10 Issue 2, February 2014
Volume 10 Issue 1s, January 2014 Special issue of best papers of ACM MMSys 2013 and ACM NOSSDAV 2013

2013
Volume 10 Issue 1, December 2013
Volume 9 Issue 1s, October 2013 Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012
Volume 9 Issue 4, August 2013
Volume 9 Issue 3, June 2013
Volume 9 Issue 2, May 2013
Volume 9 Issue 1, February 2013

2012
Volume 8 Issue 4, November 2012
Volume 8 Issue 3s, September 2012 Special section of best papers of ACM multimedia 2011, and special section on 3D mobile multimedia
Volume 8 Issue 2S, September 2012 Special Issue on Multimedia Security
Volume 8 Issue 3, July 2012
Volume 8 Issue 2, May 2012
Volume 8 Issue 1S, February 2012 Special Issue on P2P Streaming
Volume 8 Issue 1, January 2012

2011
Volume 7 Issue 4, November 2011
Volume 7S Issue 1, October 2011 Special section on ACM multimedia 2010 best paper candidates, and issue on social media
Volume 7 Issue 3, August 2011
Volume 7 Issue 2, February 2011
Volume 7 Issue 1, January 2011

2010
Volume 6 Issue 4, November 2010
Volume 6 Issue 3, August 2010
Volume 6 Issue 2, March 2010
Volume 6 Issue 1, February 2010

2009
Volume 5 Issue 4, October 2009
Volume 5 Issue 3, August 2009

2008
Volume 5 Issue 2, November 2008
Volume 4 Issue 4, October 2008
Volume 5 Issue 1, October 2008
Volume 4 Issue 3, August 2008
Volume 4 Issue 2, May 2008
Volume 4 Issue 1, January 2008

2007
Volume 3 Issue 4, December 2007
Volume 3 Issue 3, August 2007
Volume 3 Issue 2, May 2007
Volume 3 Issue 1, February 2007

2006
Volume 2 Issue 4, November 2006

06
Volume 2 Issue 3, August 06
Volume 2 Issue 2, May 2006
Volume 2 Issue 1, February 2006
Volume 1 Issue 4, November 2005
Volume 1 Issue 3, August 2005
Volume 1 Issue 2, May 2005
Volume 1 Issue 1, February 2005
 
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