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 BERLIN
Issue Date
2004
Language
English
Article Type
Article; Proceedings Paper
Citation

IMAGE AND VIDEO RETRIEVAL, PROCEEDINGS BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE, v.3115, pp.401 - 409

ISSN
0302-9743
URI
http://hdl.handle.net/10203/82718
Appears in Collection
EE-Journal Papers(저널논문)
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