Automatic video genre detection for content-based authoring

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In this paper, we propose a new video genre detection using semantic classification with multi-modal features. MPEG-7 audio-visual descriptors are used as multi-modal features. From the low-level multi-modal features, genre as high-level semantic meaning is detected by using GINI index in Classification And Regression Tree (CART) algorithm. Experimental results show that the proposed method is useful to detect video genre automatically with a high detection rate.
Publisher
SPRINGER-VERLAG BERLIN
Issue Date
2004
Language
English
Article Type
Article; Proceedings Paper
Citation

ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2004, PT 1, PROCEEDINGS BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE, v.3331, pp.335 - 343

ISSN
0302-9743
URI
http://hdl.handle.net/10203/82165
Appears in Collection
EE-Journal Papers(저널논문)
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