Semantic Video Summarization based on Support Vector Machine

doi:10.13190/jbupt.200604.94.caojr

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2006, Vol. 29 ›› Issue (4): 94-98.doi: 10.13190/jbupt.200604.94.caojr

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Semantic Video Summarization based on Support Vector Machine

C AO Jian-rong, CAI An-ni

1. School of Telecommunication Engineering , Beijing University of Posts and Telecommunications, Beijing 100876,China;
2. School of Information and Electrical Engineering , Shandong Jianzhu University , Jinan 250101, China

Received:2005-07-05 Revised:1900-01-01 Online:2006-08-30 Published:2006-08-30
Contact: C AO Jian-rong

Abstract

Abstract:

Constructing the video summarization in semantic level is very important. An algorithm of video summarization based on support vector machine (SVM) in semantic level for the natural scenery documentary is presented. The shot key frames are classified by SVM and the frames constructing the video summarization are selected from the shot key frames of every class by the importance function introduced. The scalable video summarization to fine level of detail can be achieved by changing the threshold of important function. Experiment results indicate that the proposed algorithm performs satisfactorily.

Key words: support vector machine, semantic;video summarization

CLC Number:

TP391

C AO Jian-rong ^1,2, CAI An-ni ¹. Semantic Video Summarization based on Support Vector Machine[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2006, 29(4): 94-98.

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Semantic Video Summarization based on Support Vector Machine

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