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» Video summarization using motion descriptors
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MM
2005
ACM
150views Multimedia» more  MM 2005»
14 years 1 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...
JVCA
2007
125views more  JVCA 2007»
13 years 7 months ago
Crowd motion capture
In this paper a new and original technique to animate a crowd of human beings is presented. Following the success of data-driven animation models (such as motion capture) in the c...
Nicolas Courty, Thomas Corpetti
CGF
2008
152views more  CGF 2008»
13 years 7 months ago
Capturing Intention-based Full-Frame Video Stabilization
Annoying shaky motion is one of the significant problems in home videos, since hand shake is an unavoidable effect when capturing by using a hand-held camcorder. Video stabilizati...
Bing-Yu Chen, Ken-Yi Lee, Wei-Ting Huang, Jong-Sha...
CIVR
2009
Springer
257views Image Analysis» more  CIVR 2009»
14 years 2 months ago
Trajectory-based handball video understanding
This paper presents a content-based approach for understanding handball videos. Tracked players are characterized by their 2D trajectories in the court plane. The trajectories and...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
CVPR
2011
IEEE
13 years 3 months ago
action recognition by dense trajectories
Feature trajectories have shown to be efficient for representing videos. Typically, they are extracted using the KLT tracker or matching SIFT descriptors between frames. However,...
Heng Wang, Alexander Kläser, Cordelia Schmid, Che...