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New Technology of Library and Information Service  2013, Vol. 29 Issue (10): 31-35    DOI: 10.11925/infotech.1003-3513.2013.10.06
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Video Classification Based on Main Object Feature Extraction
Chen Fen1, Su Xinning2
1. School of Economics & Management, Nanjing University of Science and Technology, Nanjing 210094, China;
2. School of Information Management, Nanjing University, Nanjing 210093, China
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Abstract  This article focuses on the main object that users are most concerned in a video frame, proposes a visual feature extraction of main object based on the region segmentation, and validates the mining effect using the proposed feature. The result shows the better mining accuracy using the new feature, and indicates the validity of the method.
Key wordsMain object feature      Video classification      Video mining     
Received: 27 May 2013      Published: 04 November 2013
:  G350  

Cite this article:

Chen Fen, Su Xinning. Video Classification Based on Main Object Feature Extraction. New Technology of Library and Information Service, 2013, 29(10): 31-35.

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