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CIVR
2004
Springer

Video Segmentation Using Hidden Markov Model with Multimodal Features

14 years 2 months ago
Video Segmentation Using Hidden Markov Model with Multimodal Features
In this paper, a video segmentation algorithm based on Hidden Markov Model classifier with multimodal feature is proposed. By using Hidden Markov Model classifier with both audio and visual features, erroneous shot boundary detection and over-segmentation were avoided compared with conventional algorithms. The experimental results show that the propose method is effective in shot detection.
Tae Meon Bae, Sung Ho Jin, Yong Man Ro
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2004
Where CIVR
Authors Tae Meon Bae, Sung Ho Jin, Yong Man Ro
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