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» To learn representativeness of video frames
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TIP
2002
114views more  TIP 2002»
15 years 5 months ago
New architecture for dynamic frame-skipping transcoder
Abstract--Transcoding is a key technique for reducing the bitrate of a previously compressed video signal. A high transcoding ratio may result in an unacceptable picture quality wh...
Kai-Tat Fung, Yui-Lam Chan, Wan-Chi Siu
CVPR
2005
IEEE
16 years 8 months ago
Video Epitomes
Recently, "epitomes" were introduced as patch-based probability models that are learned by compiling together a large number of examples of patches from input images. In...
Vincent Cheung, Brendan J. Frey, Nebojsa Jojic
MM
2005
ACM
150views Multimedia» more  MM 2005»
15 years 11 months ago
Exciting event detection in broadcast soccer video with mid-level description and incremental learning
In this paper, we propose a method for exciting event detection in broadcast soccer video with mid-level description and SVM-based incremental learning. In the method, video frame...
Qixiang Ye, Qingming Huang, Wen Gao, Shuqiang Jian...
WACV
2005
IEEE
15 years 11 months ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee
CVPR
2008
IEEE
16 years 8 months ago
Dense 3D motion capture from synchronized video streams
Abstract: This paper proposes a novel approach to nonrigid, markerless motion capture from synchronized video streams acquired by calibrated cameras. The instantaneous geometry of ...
Yasutaka Furukawa, Jean Ponce