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Joint Video Scene Segmentation and Classification based on Hidden Markov Model

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Joint Video Scene Segmentation and Classification based on Hidden Markov Model
Video classi cation and segmentation are fundamental steps for e cient accessing, retrieving and browsing large amount of video data. We have developed a scene classi cationscheme using a Hidden MarkovModel HMMbased classi er. By utilizing the temporal behaviors of di erent scene classes, HMM classi er can e ectively classify video segments into one of the prede ned scene classes. In this paper, we describe two approaches for joint video classi cation and segmentation based on HMM, which works by searching for the most likely class transition path utilizing the dynamic programming technique.
Jincheng Huang, Zhu Liu, Yao Wang
Added 25 Aug 2010
Updated 25 Aug 2010
Type Conference
Year 2000
Where ICMCS
Authors Jincheng Huang, Zhu Liu, Yao Wang
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