Video classification in user profile generation for personalized broadcast services

Ying Li; C.-C. Jay Kuo

doi:10.1117/12.411826

29 December 2000 Video classification in user profile generation for personalized broadcast services

Ying Li, C.-C. Jay Kuo

Proceedings Volume 4310, Visual Communications and Image Processing 2001; (2000) https://doi.org/10.1117/12.411826
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

Automatic generation of user profiles, as specified in the MPEG-7 user preference description scheme, for personized broadcast services is investigated in this work. Our research has focused on categorization of user-favored video into different semantically meaningful classes. This knowledge is then used in media filtering guidance and user preferred AV content selection. Several visual and motion features are extracted from source video sequences, such as the number of intra-coded macroblocks, the macroblock motion information, temporal variances and shot activity histograms, for the classification purposes. Moreover, to further improve the accuracy of classification results, a 'fuzzy nearest prototype classifier' is applied in this work. It is shown by experimental results that the proposed classification scheme is efficient and accurate.

Citation Download Citation

Ying Li and C.-C. Jay Kuo "Video classification in user profile generation for personalized broadcast services", Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); https://doi.org/10.1117/12.411826

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KEYWORDS

Video

Feature extraction

Fuzzy logic

Video processing

Visualization

Classification systems

Semantic video

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