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» To learn representativeness of video frames
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TIP
2002
114views more  TIP 2002»
14 years 11 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 1 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
104
Voted
MM
2005
ACM
150views Multimedia» more  MM 2005»
15 years 5 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 5 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 1 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