Multimedia Computing, Communications, and Applications (TOMM)


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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 6 Issue 2, March 2010

Enabling multi-party 3D tele-immersive environments with ViewCast
Zhenyu Yang, Wanmin Wu, Klara Nahrstedt, Gregorij Kurillo, Ruzena Bajcsy
Article No.: 7
DOI: 10.1145/1671962.1671963

Three-dimensional tele-immersive (3DTI) environments have great potential to promote collaborative work among geographically distributed users. However, most existing 3DTI systems only work with two sites due to the huge demand of resources and...

An eye localization, tracking and blink pattern recognition system: Algorithm and evaluation
Junwen Wu, Mohan M. Trivedi
Article No.: 8
DOI: 10.1145/1671962.1671964

This study is to investigate the fundamental problems of, (1) facial feature detection and localization, especially eye features; and (2) eye dynamics, including tracking and blink detection. We first describe our contribution to eye localization....

Detecting malicious nodes in peer-to-peer streaming by peer-based monitoring
Xing Jin, S.-H. Gary Chan
Article No.: 9
DOI: 10.1145/1671962.1671965

Current peer-to-peer (P2P) streaming systems often assume that nodes cooperate to upload and download data. However, in the open environment of the Internet, this is not necessarily true and there exist malicious nodes in the system. In this...

Fast min-hashing indexing and robust spatio-temporal matching for detecting video copies
Chih-Yi Chiu, Hsin-Min Wang, Chu-Song Chen
Article No.: 10
DOI: 10.1145/1671962.1671966

The increase in the number of video copies, both legal and illegal, has become a major problem in the multimedia and Internet era. In this article, we propose a novel method for detecting various video copies in a video sequence. To achieve fast...

Waiting-time prediction in scalable on-demand video streaming
Nabil J. Sarhan, Mohammad A. Alsmirat, Musab Al-HADRUSI
Article No.: 11
DOI: 10.1145/1671962.1671967

Providing video streaming users with expected waiting times enhances their perceived quality-of-service (QoS) and encourages them to wait. In the absence of any waiting-time feedback, users are more likely to defect because of the uncertainty as...