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» VideoQ: An Automated Content Based Video Search System Using...
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MM
1997
ACM
182views Multimedia» more  MM 1997»
13 years 7 months ago
VideoQ: An Automated Content Based Video Search System Using Visual Cues
The rapidity with which digital information, particularly video is being generated, has necessitated the development of tools for efficient search of these digital media. Content...
Shih-Fu Chang, William Chen, Horace J. Meng, Hari ...
MIR
2004
ACM
242views Multimedia» more  MIR 2004»
13 years 9 months ago
Content based access for a massive database of human observation video
We present in this paper a CBIR system for use in a psychological study of the relationship between human movement and Dyslexia. The system allows access to up to 500 hours of vid...
Laurent Joyeux, Erika Doyle, Hugh Denman, Andrew C...
MM
2006
ACM
330views Multimedia» more  MM 2006»
13 years 9 months ago
Visual attention detection in video sequences using spatiotemporal cues
Human vision system actively seeks interesting regions in images to reduce the search effort in tasks, such as object detection and recognition. Similarly, prominent actions in v...
Yun Zhai, Mubarak Shah
MTA
2002
166views more  MTA 2002»
13 years 3 months ago
MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback
ThefieldofContent-BasedVisualInformationRetrieval(CBVIR)hasexperiencedtremendousgrowth in the recent years and many research groups are currently working on solutions to the proble...
Oge Marques, Borko Furht
ICMCS
2005
IEEE
113views Multimedia» more  ICMCS 2005»
13 years 9 months ago
HMM-Based Deception Recognition from Visual Cues
Behavioral indicators of deception and behavioral state are extremely difficult for humans to analyze. This research effort attempts to leverage automated systems to augment human...
Gabriel Tsechpenakis, Dimitris N. Metaxas, Mark Ad...