ACM Transactions on

Multimedia Computing, Communications, and Applications (TOMM)

Latest Articles

Guest Editorial: Special Issue on “QoE Management for Multimedia Services”

Measuring Individual Video QoE: A Survey, and Proposal for Future Directions Using Social Media

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

SABR: Network-Assisted Content Distribution for QoE-Driven ABR Video Streaming

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

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

Multimodal Multiplatform Social Media Event Summarization


[May 2018]

Special issue call: "Affective Computing for Large-Scale Heterogeneous Multimedia Data". Cfp Submission deadline Dec. 15th, 2018


[April 2018]

Special Issue call: "Big Data, Machine Learning and AI Technologies for Art and Design". CfpSubmission deadline June 15th, 2018


[February 2018]

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

[October 2017]


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]



News archive
Forthcoming Articles
Over- and Under-Exposure Reconstruction of a Single Plenoptic Capture

Light field images, for example taken with plenoptic cameras, offer interesting post-processing opportunities, including depth-of-field management, depth estimation, viewpoint selection, and 3D image synthesis. Like most capture devices, however, plenoptic cameras have a limited dynamic range, so that over- and under-exposed areas in plenoptic images are commonplace. We therefore present a straightforward and robust plenoptic reconstruction technique based on the observation that vignetting causes peripheral views to receive less light than central views. Thus, corresponding pixels in different views can be used to reconstruct illumination, especially in areas where information missing in one view is present in another. Our algorithm accurately reconstructs under- and over-exposed regions (known as declipping), additionally affording an increase in peak luminance by up to 2 f-stops, and a comparable lowering of the noise floor. The key advantages of this approach are that no hardware modifications are necessary to improve the dynamic range, that no multiple exposure techniques are required, and therefore that no ghosting or other artefacts are introduced.

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.

User Click Data Based Fine-grained Image Recognition via Weakly Supervised Metric Learning

We present a novel fine-grained image recognition framework using user click data, which can bridge the semantic gap in distinguishing categories that are similar in visual. As the query set is usually large-scale and redundant, we firstly propose a click feature based query merging approach to merge semantically similar queries and construct a compact click feature. Afterwards, we utilize this compact click feature and Convolutional Neural Network (CNN) based deep visual feature to jointly represent an image. Finally, with the combined feature, we employ the metric learning based template matching scheme for efficient recognition. Considering the heavy noise in the training data, we introduce a reliability variable to characterize the image reliability, and propose a Weakly supervised Metric and Template Leaning with Deep feature and Click data (WMTLDC) method to jointly learn the distance metric, object templates, and image reliability. Extensive experiments are conducted on the public Clickture-Dog dataset. It is shown that, the click data based query merging helps generating a highly compact click feature for images (the dimension is reduced to 0.9%), which greatly improves the computational efficiency. Also, introducing this click feature can boost the recognition accuracy by more than 20% compared to that using CNN feature only. The proposed framework performs much better than previous state-of-the-arts in fine-grained recognition tasks.

Prototyping a Web-Scale Multimedia Retrieval Service Using Spark

The world has experienced phenomenal growth in data production and storage in recent years, much of which has taken the form of media files. At the same time, computing power has become abundant with multi-core machines, grids and clouds. Yet it remains a challenge to harness the available power and move towards gracefully handling web-scale media collections. Several researchers have experimented with using automatically distributed computing frameworks, notably Hadoop and Spark, for processing multimedia material, but mostly using small collections on small computing clusters. In this paper, we describe a prototype of a (near) web-scale multimedia service using the Spark framework running on the AWS cloud service. We present experimental results using up to 43 billion SIFT feature vectors from the public YFCC 100M collection, making this the largest high-dimensional feature vector collection reported in the literature. We also present a publicly available demonstration system, running on our own servers, where the implementation of the Spark pipelines can be observed in practice using standard image benchmarks, and downloaded for research purposes. Finally, we describe a method to evaluate retrieval quality of the ever-growing high-dimensional index of the prototype, without actually indexing a web-scale media collection.

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.

Best Papers of the ACM Multimedia Systems (MMSys) Conference 2017 and the ACM Workshop on Network and Operating System Support for Digital Audio and Video (NOSSDAV) 2017

Novel Hybrid-Cast Approach to Reduce Bandwidth and Latency for Cloud-Based Virtual Space

In this paper, we explore the possibility of enabling cloud-based virtual space applications, for better computational scalability and easy access from any end device, including future lightweight wireless head-mounted displays (HMDs). In particular, we investigate virtual classroom and virtual gallery applications, in which the scenes and activities are rendered in the cloud, with multiple views captured and streamed to each end device. A key challenge is the high bandwidth requirement to stream all the user views, leading to high operational cost and potential large delay in a bandwidth-restricted wireless network. We propose a novel hybrid-cast approach to save bandwidth in a multi-user streaming scenario. We identify and broadcast the common pixels shared by multiple users, while unicast the residual pixels for each user. We formulate the problem of minimizing the total bitrate needed to transmit the user views using hybrid-casting and describe our approach. A common view extraction approach and a smart grouping algorithm are proposed and developed to achieve our hybrid-cast approach. Simulation results show that the hybrid-cast approach can significantly reduce total bitrate by up to 55%, compared to traditional cloud-based approach of transmitting all the views as individual unicast streams, hence addressing the bandwidth challenges of cloud, with additional benefits in cost and delay.

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.

ORL-SDN: Online Reinforcement Learning for SDN-Enabled HTTP Adaptive Streaming

In designing an HTTP adaptive streaming (HAS) system, the bitrate adaptation scheme in the player is a key component to ensure a good quality of experience (QoE) for viewers. We propose a new online reinforcement learning optimization framework, called ORL-SDN, targeting HAS players running in a software defined networking (SDN) environment. We leverage SDN to facilitate the orchestration of the adaptation schemes for a set of HAS players. To reach a good level of QoE fairness in a large population of players, we cluster them based on a perceptual quality index. We formulate the adaptation process as a Partially Observable Markov Decision Process and solve the per-cluster optimization problem using an online Q-learning technique that leverages model predictive control and parallelism via aggregation to avoid a per-cluster sub-optimal selection and to accelerate the convergence to an optimum. This framework achieves maximum long-term revenue by selecting the optimal representation for each cluster under time-varying network conditions. The results show that ORL-SDN delivers substantial improvements in viewer QoE, presentation quality stability, fairness and bandwidth utilization over well-known adaptation schemes.

Characterizing User Behaviors in Mobile Personal Livecast: Towards an Edge-assisted Paradigm

Mobile personal livecast (MPL) services are emerging and have received great attention recently. In MPL, numerous and geo-distributed ordinary people are used to broadcast their video contents to worldwide viewers. Different from conventional social networking services like Twitter and Facebook, which have much of a tolerance for interaction delay, the interactions (e.g., chat messages) in a personal livecast must be in real-time with low feedback latency. These unique characteristics intrigue us to: 1) investigate how the relationships (e.g., social links and geo-locations) between viewers and broadcasters influence the user behaviors, which has yet to be explored in depth; and 2) explore insights to benefit the improvement of system performance. In this paper, we carry out extensive measurements of Inke, one of the most popular MPL providers, with a large-scale dataset containing 11M users. Our key findings are as follows: 1) The user interests shift particularly frequently and the average viewing duration is considerably short in MPL; 2) The existence of social relationships significantly strengthens viewer stickinessfollowers dedicating longer viewing time, e.g., contributing 81% of the total viewing time; 3) Long content uploading distance on broadcaster side results in low system QoS (e.g., higher broadcast latency and higher rebuffering ratio) in current core-cloud based MPL paradigm; and 4) Most of the broadcasts in MPL are geographically local-popular (the majority of the views come from the same region of the broadcaster). Thus the emergence of edge computing, which provides cloud-computing capabilities at the edge of the mobile network, naturally sheds new lights on the MPL system, e.g., localized ingesting and delivering live contents. Based on the critical observations, we propose an edge-assisted MPL system that collaboratively utilizes the core-cloud and edge computing resources to improve efficiency and scalability for Inke-like services. In our framework, we consider dynamic broadcaster assignment to minimize the broadcast latency while keeping the resource lease cost low. We formulate the broadcaster scheduling as a stable matching with migration problem to solve it efficiently, e.g., compared with current core-cloud based system, our edge-assisted delivery approach reduces broadcast latency by about 35%.

Introduction to the Special Issue on Delay-Sensitive Video Computing in the Cloud

Efficient Video Encoding for Automatic Video Analysis in Distributed Wireless Surveillance Systems

In many distributed wireless surveillance applications, compressed videos are used for performing automatic video analysis tasks. The accuracy of object detection, which is essential for various video analysis tasks, can be reduced due to video quality degradation caused by lossy compression. This paper introduces a video encoding framework with the objective of boosting the accuracy of object detection for wireless surveillance applications. The proposed video encoding framework is based on systematic investigation of the effects of lossy compression on object detection. It has been found that current standardized video encoding schemes cause temporal domain fluctuation for encoded blocks in stable background areas and spatial texture degradation for encoded blocks in dynamic foreground areas of a raw video, both of which degrade the accuracy of object detection. Two measures, the sum-of-absolute frame difference (SFD) and the degradation of texture (TXD), are introduced to depict the temporal domain fluctuation and the spatial texture degradation in an encoded video, respectively. The proposed encoding framework is designed to suppress unnecessary temporal fluctuation in stable background areas and preserve spatial texture in dynamic foreground areas based on the two measures, and it introduces new mode decision strategies for both intra and inter frames to improve the accuracy of object detection while maintaining an acceptable rate-distortion performance. Experimental results show that, compared with traditional encoding schemes, the proposed scheme improves the performance of object detection and results in lower bit rate with comparable quality in terms of PSNR and SSIM.

Designing and Evaluating a Mesh Simplification Algorithm for Virtual Reality

With the increasing accessibility of the mobile head-mounted displays (HMDs), mobile virtual reality (VR) systems are finding applications in various areas. However, mobile HMDs are highly constrained with limited graphics processing units (GPUs), low processing power and onboard memory. Hence, VR developers must be cognizant of the number of polygons contained within their virtual environments to avoid rendering at low frame rates and inducing simulator sickness. The most robust and rapid approach to keeping the overall number of polygons low is to use mesh simplification algorithms to create low-poly versions of pre-existing, high-poly models. Unfortunately, most existing mesh simplification algorithms cannot adequately handle meshes with lots of boundaries or non-manifold meshes, which are common attributes of many 3D models. In this paper, we present QEM4VR, a high-fidelity mesh simplification algorithm specifically designed for VR. This algorithm addresses the deficiencies of prior quadric error metric (QEM) approaches by leveraging the insight that the most relevant boundary edges lie along curvatures while linear boundary edges can be collapsed. Additionally, our algorithm preserves key surface properties, such as normals, texture coordinates, colors, and materials, as it pre-processes 3D models and generates their low-poly approximations offline. We evaluated the effectiveness of our QEM4VR algorithm by comparing its simplified-mesh results to those of prior QEM variations in terms of geometric approximation error, texture error, progressive approximation errors, frame rate impact, and perceptual quality measures. We found that QEM4VR consistently yielded simplified meshes with less geometric approximation error and texture error than the prior QEM variations. It afforded better frame rates than QEM variations with boundary preservation constraints that create unnecessary lower bounds on overall polygon count reduction. Our evaluation revealed that QEM4VR did not fair well in terms of existing perceptual distance measurements, but human-based inspections demonstrate that these algorithmic measurements are not suitable substitutes for actual human perception. In turn, we present a user-based methodology for evaluating the perceptual qualities of mesh simplification algorithms.

Enabling Live Video Analytics with a Scalable and Privacy-Aware Framework

We show how to build the components of a privacy-aware, live video analytics ecosystem from the bottom up, starting with OpenFace, our new open-source face recognition system that approaches state-of-the-art accuracy. Integrating OpenFace with inter-frame tracking, we build RTFace, a mechanism for denaturing video streams that selectively blurs faces according to specified policies at full frame rates. This enables privacy management for live video analytics while providing a secure approach for handling retrospective policy exceptions. Finally, we present a scalable, privacy-aware architecture for large camera networks using RTFace, and show how it can be an enabler for a vibrant ecosystem and marketplace of privacy-aware video streams and analytics services.

Cost-efficient Server Provisioning for Cloud Gaming

Cloud gaming has gained significant popularity recently due to many important benefits such as removal of device constraints, instant-on and cross-platform, etc. The properties of intensive resource demands and dynamic workloads make cloud gaming appropriate to be supported by an elastic cloud platform. Facing a large user population, a fundamental problem is how to provide satisfactory cloud gaming service at modest cost. We observe that software maintenance cost could be substantial compared to server running cost in cloud gaming using elastic cloud resources. In this paper, we address the server provisioning problem for cloud gaming to optimize both server running cost and software maintenance cost. We find that the distribution of game softwares among servers and the selection of server types both trigger trade-offs between the software maintenance cost and server running cost in cloud gaming. We formulate the problem with a stochastic model and employ queueing theories to conduct solid theoretical analysis of the system behaviors under different request dispatching policies. We then propose several classes of algorithms to approximate the optimal solution. The proposed algorithms are evaluated by extensive experiments using real-world parameters. The results show that the proposed Ordered and Genetic algorithms are computationally efficient, nearly cost-optimal and highly robust to dynamic changes.

User Behavior Analysis and Video Popularity Prediction on a Large-Scale VoD System

Understanding streaming user behavior is crucial to the design of large-scale video-on-demand (VoD) systems. However, existing studies usually treat all the users as an entire entity to analyze the collective user behaviors, especially the video popularity. In this paper, we begin with the measurement of individual viewing behavior from two perspectives: the temporal characteristics and the user interest, and present our results by dividing users into the active and less active groups. We observe that the active users spend more hours on each active day, and their daily request time distribution is more scattered than that of the less active users, while the inter-view time distribution differs negligible between two groups. The similar viewing behaviors are discovered among the active and less active users, e.g. the common interests in popular videos and the latest uploaded videos. To identify users with similar viewing behaviors, we cluster them into a number of classes using their daily request timestamp or the categories of watched videos, where the efficacy of the clustering is validated by the cluster centroid. We then analyze the predictability of video popularity using the early views. The classical approaches that select the same set of parameters for all the videos are shown to be far away from the real popularity. In the light of this observation, the auto-regressive and moving average (ARMA) model is employed to forecast the popularity of each video separately, thus achieving a much higher accuracy.

On the Effectiveness of Offset Projections for 360-degree Video Streaming

360 degree video is a new generation of video streaming technology that promises greater immersiveness than standard video streams. This level of immersiveness is similar to that produced by virtual reality devices -- users can control the field of view using head movements rather than needing to manipulate external devices. Although 360 degree video could revolutionize streaming technology, large scale adoption is hindered by a number of factors. 360 degree video streams have larger bandwidth requirements, require faster responsiveness to user inputs, and users may be more sensitive to lower quality streams. In this paper, we review standard approaches toward 360 degree video encoding and compare these to families of approaches that distort the spherical surface to allow oriented concentrations of the 360 degree view. We refer to these distorted projections as offset projections. At best, we estimate via measurement studies that these offset projections can produce better or similar visual quality with less than 50\% pixels under reasonable assumptions about user behavior. Offset projections complicate adaptive 360 degree video streaming because they require a combination of bitrate and view orientation adaptations. We estimate that this combination of streaming adaptation in two dimensions can cause over 57\% extra segments to be downloaded compared to an ideal downloading strategy, wasting 20\% of the total downloading bandwidth.

Automatic Data Augmentation from Massive Web Images for Deep Visual Recognition

Large scale image dataset and deep convolutional neural network (DCNN) are the two primary driving forces for the rapid progress in generic object recognition tasks in recent years. While lots of network architectures have been continuously designed to pursue lower error rates, few efforts are devoted to enlarging existing datasets due to high labeling cost and unfair comparison issues. In this paper, we aim to achieve lower error rate by augmenting existing datasets in an automatic manner. Our method leverages both Web and DCNN, where Web provides massive images with rich contextual information, and DCNN replaces human to automatically label images under the guidance of Web contextual information. Experiments show that our method can automatically scale up existing datasets significantly from billions of web pages with high accuracy, and significantly improve the performance on object recognition tasks with the automatically augmented datasets, which demonstrates that more supervisory information has been automatically gathered from the Web. Both the dataset and models trained on the dataset have been made publicly available.

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.

Image Captioning with Affective Guiding and Selective Attention

Image captioning is an increasingly important problem associated with artificial intelligence, computer vision and natural language processing. Recent works revealed that it is possible for a machine to generate meaningful and accurate sentences for images. However, most existing methods ignore emotional information latent in an image. In this paper, we propose a novel image captioning model with affective guiding and selective attention mechanism named AG-SAM. In our method, we aim to bridge the affective gap between image captioning and the emotional response elicited by the image. Firstly, we introduce affective components which capture higher-level concepts encoded in images into AG-SAM. Hence, our language model can be adapted to generate sentences which are more passionate and emotive. Besides, a selective gate acted on attention mechanism control the degree of how much visual information AG-SAM needs. Experimental results have shown that our model outperforms most existing methods, clearly reflecting association between images and emotional components which is usually ignoring in existing works.

Delay-Sensitive Video Computing in the Cloud: A Survey

While cloud servers provide tremendous amount of resources for networked video applications, most successful stories of cloud-assisted video applications are presentational video services, such as YouTube and NetFlix. This article surveys the recent advances on delay-sensitive video computations in the cloud, which are crucial to cloud-assisted conversational video services, such as cloud gaming, Virtual Reality (VR), Augmented Reality (AR), and telepresence. Supporting conversational video services with cloud resources is challenging because most cloud servers are far away from the end users, while these services incur the following stringent requirements: high bandwidth, short delay, and high heterogeneity. In this article, we cover the literature with a top-down approach: from applications and experience, to architecture and management, and to optimization in and outside of the cloud. We also point out major open challenges, hoping to stimulate more research activities in this emerging and exciting direction.

Cloud Baking: Collaborative Scene Illumination for Dynamic Web3D Scenes

For an efficient, high-quality, and low-cost solution to web online interactive rendering application, such as video gaming, virtual reality, simulation and so on, we propose a novel real-time cloud rendering system on the web. Different from the existing cloud rendering systems that render full-frame image sequences, we render the lightweight models in the web front-end with WebGL and put heavy Global illumination(GI) rendering calculations in the cloud back-end. Our system consists of three key stages, include cloud rendering, image data transmission, and final frames optimization. Compare to the traditional cloud rendering systems, our system overcomes the traditional cloud rendering system's transmission delay defect and shows satisfactory real-time rendering performance on web browsers.

ASAP: Adaptive Stall-Aware Pacing for Improved DASH Video Experience in Cellular Networks

The dramatic growth of video traffic represents a practical challenge for cellular network operators in providing a consistent streaming Quality of Experience (QoE) to their users. Satisfying this objective has so-far proved elusive, due to the inherent system wireless network conditions that degrade streaming performance, such as variability in both video bitrate and network conditions. In this paper, we propose stall aware pacing as a novel MPEG DASH video traffic management solution that reduces playback stalls and seeks to maintain a consistent QoE for cellular users, even those with diverse channel conditions. These goals are achieved by leveraging both network and client state information to optimize the pacing of individual video flows. We extensively evaluate the performance of two versions of stall aware pacing techniques, including stall aware pacing (SAP) and adaptive stall aware pacing (ASAP), using real video content and clients, operating over a simulated LTE network. We implement state-of-the-art client adaptation and traffic management strategies for direct comparison. Our results, using a heavily loaded base station, show that SAP reduces the number of stalls and the average stall duration per session by up to 95%. Additionally, SAP ensures that clients with good channel conditions do not dominate available wireless resources, evidenced by a reduction of up to 40% in the standard deviation of the QoE metric. We also show that the ASAP achieves further performance gains by adaptively pacing video streams based on the application buffer state.

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.

Table of Contents: Online Supplement Volume 14, Number 1S and 2S


Publication Years 2005-2018
Publication Count 596
Citation Count 3263
Available for Download 595
Downloads (6 weeks) 3478
Downloads (12 Months) 27892
Downloads (cumulative) 263042
Average downloads per article 442
Average citations per article 5
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)
Christoph Rensing ACM Senior Member (2018)
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)
Malcolm Slaney ACM Senior Member (2018)
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 11
Weitsang Ooi 10
Klara Nahrstedt 10
Shervin Shirmohammadi 8
Pradeep Atrey 8
James She 8
Chenghsin Hsu 8
Gheorghita Ghinea 8
Roger Zimmermann 8
Tao Mei 7
Ralf Steinmetz 7
Qi Tian 6
Carsten Griwodz 6
Pål Halvorsen 6
Yong Rui 6
Namunu Maddage 5
Svetha Venkatesh 5
Abdulmotaleb El Saddik 5
Pablo César 5
Mohammad Hossain 5
Abdulmotaleb El Saddik 5
Meng Wang 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
Michael Zink 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
Rui Yang 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
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
Michael Pearce 2
Mohan Kankanhalli 2
Bin Cheng 2
Djamila Aouada 2
Stefano Berretti 2
Anup Basu 2
Yiliang Zhao 2
Hanqing Lu 2
Jichao Sun 2
Michael Houle 2
Daniel Gatica-Perez 2
Indranil Gupta 2
Ramesh Jain 2
Aisling Kelliher 2
Lawrence Rowe 2
Linjun Yang 2
Xue Li 2
Venugopal Vasudevan 2
Don Towsley 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
Kuanta Chen 2
Chunying Huang 2
Munchoon Chan 2
Yuru Lin 2
Mubarak Shah 2
Xiaofei He 2
Stephan Kopf 2
Matthias Baldauf 2
Nicu Sebe 2
Wanmin Wu 2
Gerald Friedland 2
Steven Hoi 2
Huanbo Luan 2
Houqiang Li 2
Rahul Potharaju 2
Vincent Oria 2
Liang Zhou 2
Nicola Conci 2
Kien Hua 2
Jongeun Cha 2
Zhikui Chen 2
Phuoc Tran-Gia 2
Hongjiang ZHANG 2
Vamsidhar Gaddam 2
Ragnar Langseth 2
Min Song 2
Michael Gleicher 2
Weiqi Luo 2
Yiping Hung 2
Chusong Chen 2
Brett Adams 2
Hendrik Knoche 2
Robert Kinicki 2
Zhenyu Yang 2
Hefei Ling 2
Xiangyu Wang 2
Matti Siekkinen 2
Xu Cheng 2
Shiqiang Yang 2
Xi Zhou 2
Ahsan Arefin 2
Francesco De Natale 2
Susanne Boll 2
Qingchen Zhang 2
Geoff West 2
Bing Wang 2
Gwendal Simon 2
Stefano Petrangeli 2
Filip De Turck 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
Yun Fu 2
Ming Yan 2
Peng Cui 2
Lawrence Rowe 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
Mohamed Daoudi 2
Pavan Turaga 2
Jiebo Luo 2
Bineng Zhong 2
Divyashri Bhat 2
Simon Moncrieff 2
Chongwah Ngo 2
Xi Shao 2
Yugang Jiang 2
Zhenwei Zhao 2
Derek Eager 2
Shuqiao Zhao 2
Fuhao Zou 2
Arijit Sur 2
Meng Wang 2
Peiyu Lin 2
Chongwah Ngo 2
Christian Timmerer 2
Yuansong Qiao 2
Björn Ottersten 2
Zechao Li 2
Wolfgang Kellerer 2
Jie Yang 2
Jun Ye 2
Amr Rizk 2
Thomas Zinner 2
Jesse Jin 2
Bo Shen 2
Jamesze Wang 2
Azzedine Boukerche 2
Wei Liu 2
Dag Johansen 2
Ajay Gopinathan 2
Stefan Wilk 2
Hairong Liu 1
Bo Fu 1
Yihan Pu 1
Dick Epema 1
Sina Jafarpour 1
Roelof Van Zwol 1
Michael Mandel 1
Mengdi Xu 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
Sergio Mena 1
Peter Phillips 1
Gary Wolverton 1
Stephen Davies 1
David Bull 1
Yoonjoon Lee 1
David Ott 1
Jirong Wen 1
Lingyu Duan 1
Rich Edgecomb 1
Shiping Chen 1
Anlei Dong 1
Joseph Peters 1
Tzicker Chiueh 1
Duansheng Chen 1
Yoav Etsion 1
Chitra Madhwacharyula 1
Hui Li 1
Yijie Lu 1
Bruno Guilherme 1
Pasi Fränti 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
Yan Liu 1
Bruno Silva 1
Guangjie Han 1
Abu Rahman 1
Jeroen Van Der Hooft 1
Zhipeng Chen 1
Ying Yang 1
Rossano Gaeta 1
Christoph Rensing 1
Abdelkader Belkhir 1
Grenville Armitage 1
Wengang Zhou 1
Ramesh Jain 1
Sanguok Kum 1
Donald Tanguay 1
Michael Goss 1
Edward Chang 1
Shihchuan Chiu 1
Ingrid Visentini 1
Wenjun(Kevin) Zeng 1
Liangliang Cao 1
Brian Whitman 1
Viswanathan Swaminathan 1
Noah Snavely 1
Yunhua Deng 1
Xinglei Zhu 1
Tore Endestad 1
Paul Vigmostad 1
Aditya Kanetkar 1
Yong Wang 1
Xindi Shang 1
Abdel Al Tamimi 1
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Ping An 1
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Liwei He 1
Yousef Sharrab 1
Cha Zhang 1
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Fulvio Babich 1
Alan Ip 1
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Ulf Myrestam 1
Xiaofei Liao 1
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Renfei Wang 1
Xitong Li 1
Xiaolin Li 1
James Williamson 1
Yogesh Rawat 1
Biao Zhu 1
Feng Xia 1
Haodong Li 1
Qi Yan 1
Nizar Sakr 1
Emil Petriu 1
Kashif Ahmad 1
Priyanka Singh 1
Ishwarya Thirunarayanan 1
Michael Riegler 1
Simone Santini 1
Phillipa Gill 1
Ram Dantu 1
Kalpathi Ramakrishnan 1
Boris Velichkovsky 1
Jens Helmert 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
Vasileios Papapanagiotou 1
Haiwei Dong 1
Wengang Zhou 1
Ashkan Yazdani 1
Claudio Feijóo 1
Xin Zhao 1
Chaoyi Pang 1
Quan Sheng 1
Zengfu Wang 1
Nuria Oliver 1
Alexander Loui 1
Mengyu Qiao 1
Pavel Korshunov 1
Andrew Sung 1
Danny Kilis 1
Xiangyu Chen 1
Jinxia Liu 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
Wenyu Qu 1
Laura Teodosio 1
Ork Rooij 1
Augusto Celentano 1
Xiaoyuan Guo 1
Girum Demisse 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
Rahul Sukthankar 1
Can Wang 1
Burak Çizmeci 1
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Rahul Chaudhari 1
Yandong Tang 1
Vineet Gokhale 1
Howard Leung 1
Xiansheng Hua 1
Virgílio Almeida 1
Jussara Almeida 1
Ruchira Naskar 1
Lorenzo Seidenari 1
Claudio Baecchi 1
Haiyang Wang 1
Giuseppe Cofano 1
Anh Nguyen-Ngoc 1
Andrzej Beben 1
Lijun Yin 1
Nishan Canagarajah 1
Norman Murray 1
Wentong Cai 1
Byunghee Jung 1
Junehwa Song 1
Suiping Zhou 1
Ron Shacham 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
Philipp Gysel 1
Jixiang Du 1
Jialin Peng 1
Nicola Adami 1
Maaike De Boer 1
Hao Zhang 1
Ana Silva 1
Peijia Zheng 1
Xupeng Lin 1
Philippe Bertin 1
Jinye Peng 1
Julia Sussner 1
Lex Stein 1
Mingjie Jiao 1
Wenyan Hu 1
Min Liang 1
Sergio Canazza 1
Fraser Blackmun 1
Meiyii Lim 1
Seshadri Venkatagiri 1
Ross Maciejewski 1
Michael Wallick 1
Howard Wactlar 1
Abhinav Gupta 1
Rita Cucchiara 1
Aurora Tulilaulu 1
Joonas Paalasmaa 1
Boqing Gong 1
Xiansheng Hua 1
Herman Engelbrecht 1
John Shea 1
Konstantin Pogorelov 1
Shihyao Lin 1
Changnian Zhang 1
Dario Comanducci 1
Wenkuang Kuo 1
Nicolas Georganas 1
Junhu Wei 1
Liangtien Chia 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
Ruifan Li 1
Hannu Toivonen 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
Joonwon Lee 1
Thanassis Rikakis 1
Qingfang Zheng 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
Yi Yang 1
Wengang Zhou 1
Qin Lv 1
Meng Wang 1
Jiyan Wu 1
Sicong Liu 1
Jaegeuk Kim 1
Weiwei Xu 1
Shengmin Liu 1
Feng Liu 1
Prakash Kolan 1
Chris Bleakley 1
Bo Yang 1
Jack Jansen 1
Hsinmin Wang 1
Ashvin Goel 1
Robert Rieger 1
James Clark 1
Zhaoqing Pan 1
Oryina Akputu 1
Dan Guo 1
Qinghao Hu 1
Yuan Yang 1
Maria Sapino 1
Rodrigo Ceballos 1
Hao Qin 1
Xingzi Wen 1
Francisco Herrera 1
Fangchun Yang 1
Shangguang Wang 1
Ao Zhou 1
Fang Xu 1
Wei Wang 1
Haibo Chen 1
Meihui Zhang 1
Kianlee Tan 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
Yi Zhu 1
Qinming He 1
Beatrice Ionascu 1
Bin Song 1
Honggang Wang 1
Chinghsien Hsu 1
Zenggang Xiong 1
Zhan Qin 1
Jingbo Yan 1
Cong Wang 1
Keke Gai 1
Zhong Ming 1
Jinhui Tang 1
Kenichi Suzuki 1
Feng Liu 1
Wei Chen 1
Chingling Fan 1
Muzhou Xiong 1
Neeraj Kumar 1
Adelelu Jia 1
Suneeta Agarwal 1
Thomas Haenselmann 1
Chuohao Yeo 1
Leonardo Favario 1
Judith Redi 1
Zhenguang Liu 1
Akanksha Tiwari 1
Sasu Tarkoma 1
Ioannis Ivrissimtzis 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
José MartíNez 1
Bo Geng 1
Albert Banchs 1
Prabin Bora 1
Zheng Yan 1
Ke Gu 1
Xiaokang Yang 1
Ellen Do 1
Shengsheng Qian 1
Piotr Didyk 1
Haojin Yang 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
Xinmei Tian 1
Matthew Turk 1
Richard Szeliski 1
Zixia Huang 1
Xianglong Liu 1
Yadong Mu 1
Bo Lang 1
Haakon Riiser 1
Paul Patras 1
Lei Cao 1
Haojun Wu 1
Weita Chu 1
Yizhou Yu 1
Xiangyang Wang 1
Minghsuan Yang 1
Zhong Zhou 1
Liquan Shen 1
Liqiang Nie 1
Haitao Li 1
Tianzhu Zhang 1
Qinghua Huang 1
Song Tan 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
Roy Campbell 1
Shujie Liu 1
Brian Lee 1
Junshi Huang 1
Xuyong Yang 1
Jingdong Wang 1
Lei Pang 1
Mulin Chen 1
Qi Wang 1
Jean Vesin 1
Junliang Xing 1
Manoj Prasad 1
Tracy Hammond 1
Alaa Halawani 1
Hanwang Zhang 1
Yue Gao 1
Hui Zhang 1
Branka Lakic 1
Henrique Da Silva 1
Mauro Cherubini 1
Wei Jiang 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
Petr Sojka 1
Zhiyong Feng 1
Feifei Zhang 1
Qirong Mao 1
Sylviobarbon Jr 1
Daqing Zhang 1
Markus Schedl 1
Yonghong Tian 1
Menglin Jiang 1
Gerald Kunzmann 1
Mingju Wu 1
Shingchern You 1
Xuanhui Wang 1
Dong Xu 1
Yuching Lin 1
Anoop Rajagopal 1
Qiufang Fu 1
Xueqi Cheng 1
Weisong Shi 1
Wolfgang Klas 1
Jiali Duan 1
Yongqiang Yao 1
Bruno Mirbach 1
Yunhong Wang 1
Jianhai Zhang 1
Meng Xing 1
Ming Dong 1
Hiranmay Ghosh 1
Q Wu 1
Wen Gao 1
Dirk Staehle 1
Sukkyu Lee 1
Jihoon Ryoo 1
Jiali Li 1
Xiangnan Kong 1
Philipp Sandhaus 1
Haiqiang Zuo 1
Joan Biel 1
Jiebo Luo 1
Xiaotong Yuan 1
Giancarlo Calvagno 1
Hao Hu 1
Zhuo Su 1
Shuai Wang 1
Huijie Fan 1
Huaici Zhao 1
Keith Ross 1
Yanjiang Yang 1
Loyao Yeh 1
Kevin Curran 1
Andrzej Chydziñski 1
Dorothy Rachovides 1
John Rae 1
Busung Lee 1
Sakirearslan Ay 1
Senching Cheung 1
Prabhu Natarajan 1
Jyh Jang 1
Dilip Krishnappa 1
Bingkun Bao 1
Bohao Chen 1
Philipp Schaber 1
Christoph Wesch 1
Petri Vuorimaa 1
Ou Wu 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
Tiberio Uricchio 1
Andrea Ferracani 1
Marco Bertini 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
Prasant Mohapatra 1
Yang Li 1
Shihchia Huang 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
Radu Mariescu-Istodor 1
Adlen Ksentini 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
Mohammad Motamedi 1
Xiao Ke 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
Jiwu Huang 1
Divya Singhal 1
Giuseppe Serra 1
Dan Ventura 1
Yi Yang 1
Julio Valdés 1
Amir Mazaheri 1
Xi Wang 1
Olivier Meur 1
Giorgos Karafotias 1
Akiko Teranishi 1
Georgios Korres 1
Peter Schmidt 1
Zeno Albisser 1
Bharat Bhargava 1
Pablo Nunnez 1
Minoru Nakayama 1
Shahin Shayandeh 1
João Cangussu 1
Marcus Nyström 1
Chihyi Chiu 1
Kahphooi Seng 1
Peisong Wang 1
Shuhui Jiang 1
Yue Wu 1
Kuangyu Chang 1
Rynson Lau 1
Yuanyan Tang 1
Yinghua Li 1
Hui Mao 1
Jiqing Wen 1
Boran Yang 1
Marcella Cornia 1
Matti Nelimarkka 1
Daniel Johnson 1
Hengtao Shen 1
Mauricio Orozco 1
Farid Melgani 1
Minjun Li 1
John Gilmore 1
Sanjeev Koppal 1
Thomas De Lange 1
Saraju Mohanty 1
Xue Liu 1
Miguel Nussbaum 1
Dawoon Jung 1
Yinpeng Chen 1
Yuri Ivanov 1
Wei Wei 1
William Seager 1
Zheng Guo 1
Mark Corner 1
Frédéric Boudon 1
Yong Wei 1
Tsungnan Lin 1
Ingmar Franke 1
Yowon Jeong 1
Yajuan Zhang 1
Jian Cheng 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
Alessandro Floris 1
Arslan Ahmad 1
Qi Liu 1
Christoph Meinel 1
Mika Aalto 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
Charith Perera 1
Alan Blackwell 1
David Scruton 1
Girija Chetty 1
Hayley Hung 1
Huaxin Xu 1
Chao Zhang 1
Christian Weth 1
Chongwah Ngo 1
Marco Botta 1
Davide Cavagnino 1
Victor Pomponiu 1
Xuwen Yu 1
Samia Bouyakoub 1
Hong Shen 1
Dan Olsen 1
Dong Liu 1
Yichuan Wang 1
Tingan Lin 1
Yijuan Lu 1
Yiqun Li 1
Dan Gelb 1
Wuchang Feng 1
Dacheng Tao 1
Evangelos Georganas 1
Hari Gupta 1
Benjamin Wah 1
Sibaji Gaj 1
Chihyi Chiu 1
Nimesha Ranasinghe 1
Yisheng Xu 1
Ankita Lathey 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
Abdelwahab Hamam 1
Karsten Schwan 1
Fadi Dornaika 1
Matthew Cooper 1
Robert Walz 1
Joeri Van Der Velden 1
Jongseung Park 1
Irwin Sobel 1
Beitao Li 1
Gian Foresti 1
Yalin Lee 1
Lei Zhang 1
Rainer Lienhart 1
Michael Driscoll 1
Kurt Keutzer 1
Heng Liu 1
Tanima Dutta 1
Jingxi Xu 1
Adam Wolisz 1
Alvin Junus 1
Hanwang Zhang 1
Xiongkuo Min 1
Chihwei Lin 1
Shenchi Chen 1
Zhaoyang Zhang 1
Beomjoo Seo 1
Weiming Zhang 1
Nenghai Yu 1
Jingjing Fu 1
Maria Merani 1
Chen Zhao 1
Lexing Xie 1
Bisheng Chen 1
Ligang Zheng 1
Mansoor Ebrahim 1
Anastasios Delopoulos 1
Weisi Lin 1
Touradj Ebrahimi 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
Zhenhui Yuan 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
Daviddagan Feng 1
Ramakrishnan Kalpathi 1
Xiaolan Fu 1
Jianming Lv 1
Dongyu Liu 1
Jinhui Tang 1
Lynda Hardman 1
Alfio Ferrara 1
Stan Li 1
Yong Su 1
Yongzhao Zhan 1
Rodrigoaugusto Igawa 1
Qiang Chen 1
Xiangyu Chen 1
Anupama Mallik 1
Santanu Chaudhury 1
Luntian Mou 1
Jyh Jang 1
Seungho Yoo 1
Hwangnam Kim 1
Homer Chen 1
Razvan Pascanu 1
Yoshua Bengio 1
Rossano Schifanella 1
Filippo Menczer 1
Bin Xu 1
Chun Chen 1
Giuseppe Lisanti 1
Svebor Karaman 1
Iacopo Masi 1
Maike Erdmann 1
Takahiro Hara 1
Tiago Rodrigues 1
Yeehong Yang 1
Sailesh Bharati 1
Saverio Mascolo 1
Shengzhong Feng 1
Jun Wang 1
Dimitris Agrafiotis 1
Mikel Ariz 1
Tam Nguyen 1
Kazuya Sakai 1
Wei Guan 1
Tongtao Zhang 1
Magnus Stenhaug 1
Håkon Stensland 1
Mohan Kankanhalli 1
Yong Rui 1
Yongjin Liu 1
Raoul Rivas 1
Zhenhua Li 1
Fei Li 1
Francis Lau 1
Di Huang 1
Anne Tchounikine 1
Lahoucine Ballihi 1
Kang Li 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
Lorenzo Baraldi 1
Ebroul Izquierdo 1
Mohamed Mekhalfi 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
Rainer Groh 1
Pochiang Lin 1
Sebastian Pannasch 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

Affiliation Paper Counts
Adobe Systems Incorporated 1
Samsung Electronics, India Software Operations Ltd. 1
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
Vienna University of Technology 1
University of South Carolina 1
South Dakota School of Mines & Technology 1
Universite Paris Sorbonne - Paris IV 1
Deakin University 1
Karolinska University Hospital 1
Agder University College 1
Baerum Hospital 1
University of Coimbra 1
University of Surrey 1
Indiana University 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
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
Ecole Centrale de Lyon 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
Macau University of Science and Technology 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
UNESP-Universidade Estadual Paulista 1
Google Inc. 1
University of Pennsylvania 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
National Institute of Telecommunications, Poland 2
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
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
Polytechnic Institute of Turin 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
Masaryk 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
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
Jaypee Institute of Information Technology University 2
Universidad Carlos III de Madrid 3
Hebrew University of Jerusalem 3
University of Sao Paulo 3
University of Salford 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
Mohammed V University in Rabat 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 Vienna 3
Stony Brook University 3
Universidad Autonoma de Madrid 3
Polytechnic Institute of Bari 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
Qatar Computing Research institute 3
Hasso-Plattner-Institut fur Softwaresystemtechnik GmbH 3
Simula Research Laboratory 4
University of Beira Interior 4
University of Helsinki 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
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
Jiangsu 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 Udine 4
University of California, Los Angeles 4
University of California, Santa Barbara 4
Nanjing University 4
Communaute d'Universites et d'Etablissements Lille Nord de France 4
Sunway University 4
University of Padua 5
McGill University 5
University of Modena and Reggio Emilia 5
Telecom Bretagne 5
University of Brescia 5
Aristotle University of Thessaloniki 5
University of Toronto 5
Texas A and M University 5
New Jersey Institute of Technology 5
Shanghai Jiaotong University 5
The University of North Carolina at Chapel Hill 5
University of Exeter 5
Technical University of Madrid 5
Pontificia Universidad Catolica de Chile 5
University of Milan 5
University of Queensland 5
University of Wisconsin Madison 5
University of Cagliari 5
University College London 6
Tianjin University 6
State University of Londrina 6
Northeastern University 6
Inha University, Incheon 6
University of Alberta 6
Institute of Computing Technology Chinese Academy of Sciences 6
University of Luxembourg 6
University of Colorado at Boulder 6
Pennsylvania State University 6
Northwestern Polytechnical University China 6
Brigham Young University 6
University of California, Irvine 6
Purdue University 6
Fudan University 6
Indian Institute of Technology, Guwahati 6
Worcester Polytechnic Institute 6
National Chiao Tung University Taiwan 6
National Tsing Hua University 6
Technical University of Dresden 6
Microsoft Corporation 6
University of Technology Sydney 7
Dublin City University 7
Huaqiao University 7
Nanjing University of Post and TeleCommunications 7
Nanjing University of Science and Technology 7
University of Florida 7
Peking University 7
University of Winnipeg 7
George Mason University 7
Athlone Institute of Technology 7
Shenyang Institute of Automation Chinese Academy of Sciences 7
University of Calgary 8
University of Amsterdam 8
Microsoft Research 8
University of Wurzburg 8
University of California, Davis 8
Chinese University of Hong Kong 8
Xidian University 9
National University of Ireland, Maynooth 9
Carnegie Mellon University 9
University of Cambridge 9
University at Buffalo, State University of New York 9
Heriot-Watt University, Edinburgh 9
Wayne State University 9
HP Labs 9
Center for Mathematics and Computer Science - Amsterdam 9
University of Turin 9
The University of Hong Kong 9
FX Palo Alto Laboratory 10
Federal University of Minas Gerais 10
Korea Advanced Institute of Science & Technology 10
Yahoo Research Labs 10
Beijing University of Posts and Telecommunications 10
New York University Abu Dhabi 10
Dalian University of Technology 10
University of Mannheim 10
Universite de Toulouse 10
Portland State University 11
Ghent University 11
Swiss Federal Institute of Technology, Lausanne 11
University of Southern California 12
Technical University of Munich 12
University of Trento 12
Motorola 13
Curtin University of Technology, Perth 13
Brunel University London 13
Shenzhen University 13
University of Texas at Dallas 13
Aalto University 13
Beihang University 14
University of Florence 15
Delft University of Technology 15
Technical University of Darmstadt 16
University of California, Berkeley 17
Hefei University of Technology 17
University of Central Florida 17
University of Massachusetts Amherst 17
Academia Sinica Taiwan 17
Nanyang Technological University 17
Zhejiang University 18
Institute of Automation Chinese Academy of Sciences 18
City University of Hong Kong 18
National Taiwan University 19
Institute for Infocomm Research, A-Star, Singapore 19
Columbia University 20
Huazhong University of Science and Technology 21
Tsinghua University 21
Sun Yat-Sen University 23
University of Science and Technology of China 24
University of Illinois at Urbana-Champaign 26
University of Oslo 27
Hong Kong University of Science and Technology 28
Arizona State University 28
Microsoft Research Asia 32
Simon Fraser University 34
University of Ottawa, Canada 39
Chinese Academy of Sciences 41
National University of Singapore 131

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

Volume 14 Issue 2s, May 2018  Issue-in-Progress
Volume 14 Issue 2, May 2018  Issue-in-Progress
Volume 14 Issue 1s, April 2018 Special Section on Representation, Analysis and Recognition of 3D Humans and Special Section on Multimedia Computing and Applications of Socio-Affective Behaviors in the Wild
Volume 14 Issue 1, January 2018

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

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

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

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

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

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

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

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

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

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

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

Volume 2 Issue 4, November 2006

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
All ACM Journals | See Full Journal Index

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