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Video Classification Using Multiple Features |
Chen Fen1,2, Lai Maosheng3 |
1. School of Information Management, Nanjing University, Nanjing 210093, China;
2. School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China;
3. Department of Information Management, Peking University, Beijing 100871, China |
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Abstract This article introduces a classification experiment which is based on UNC's Open Video project. In this experiment, the authors focus on the respective effects of different types of key frame collection, and compare the contribution of various features and their combination in details. Furthermore,the result shows that combination of visual and text features can achieve the best mining accuracy, and keywords and descriptions have different influence on the mining effect.
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Received: 14 February 2012
Published: 24 July 2012
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