Video Segmentation Using Hidden Markov Model with Multimodal Features

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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.
Publisher
Springer Verlag
Issue Date
2004
Citation

International Conference on Image and Video Retrieval 2004

URI
http://hdl.handle.net/10203/20600
Appears in Collection
EE-Conference Papers(학술회의논문)

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