Semantic Extraction of Video Keyframe Using Support Vector Machines

doi:10.13190/jbupt.200602.123.caojr

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2006, Vol. 29 ›› Issue (2): 123-126.doi: 10.13190/jbupt.200602.123.caojr

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Semantic Extraction of Video Keyframe Using Support Vector Machines

CAO Jian-rong, CAI An-ni

School of Telecommunication Engineering, Beijing University of Posts and Telecommunications

Online:2006-04-28 Published:2006-04-28

Abstract

Abstract: A multi-class support vector machine (SVM) is used to classify the video key frames of scenery documentary. The color histogram features and MPEG (Moring Picture Expert Group)-7 edge histogram features from the video key frames of scenery documentary are combined to classify the key frame in SVM in order to obtain the semantics of the key frames. The performances of SVMs with difference kernel functions have been tested and compared. The precision of classification of SVM with polynormal and radial basis function will be about 3% higher than that of other kernel function.

Key words: support vector machine, key frames, semantic, video

CAO Jian-rong, CAI An-ni. Semantic Extraction of Video Keyframe Using Support Vector Machines[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2006, 29(2): 123-126.

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Semantic Extraction of Video Keyframe Using Support Vector Machines

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