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» Mining Appearance Models Directly From Compressed Video
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WWW
2004
ACM
14 years 6 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
CGF
2008
156views more  CGF 2008»
13 years 5 months ago
Render2MPEG: A Perception-based Framework Towards Integrating Rendering and Video Compression
Currently 3D animation rendering and video compression are completely independent processes even if rendered frames are streamed on-the-fly within a client-server platform. In suc...
Robert Herzog, Shin-ichi Kinuwaki, Karol Myszkowsk...
SADM
2008
106views more  SADM 2008»
13 years 5 months ago
Harmonium Models for Video Classification
: Accurate and efficient video classification demands the fusion of multimodal information and the use of intermediate representations. Combining the two ideas into one framework, ...
Jun Yang 0003, Rong Yan, Yan Liu, Eric P. Xing
CVPR
2001
IEEE
14 years 7 months ago
Learning Flexible Sprites in Video Layers
See a PPT file with videos at www.research.microsoft.com/users/jojic/FlexiblesSprites.htm We propose a technique for automatically learning layers of "flexible sprites" ...
Nebojsa Jojic, Brendan J. Frey
TCSV
2008
150views more  TCSV 2008»
13 years 5 months ago
Robust Video Fingerprinting for Content-Based Video Identification
Video fingerprints are feature vectors that uniquely characterize one video clip from another. The goal of video fingerprinting is to identify a given video query in a database (DB...
Sunil Lee, Chang Dong Yoo