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| An Automatic Video Classification Scheme Based on Combination of MPEG7 Descriptors and SecondPrediction Strategy |
| CHEN Bin,JIANG Xinghao，SUN Tanfeng |
| (1.School of Information Security Engineering, Shanghai Information Security Management and Technology Research Key Lab, Shanghai Jiaotong University, Shanghai 200240, China) |
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Abstract To deal with the growing amount of videos on the Internet, this paper presented a scheme for automatic video classification based on the combination of MPEG7 descriptors and secondprediction strategy. Nine MPEG7 descriptors such as color, texture, shape and motion were extracted from five different genres of videos and combined as a whole representative feature. Then it was put into an SVM classifier to train the model and predict. The traditional 11 method was modified with a secondprediction strategy to improve the classification accuracy. The experiments on a broad range of video data demonstrate that the accuracy of our classification scheme is higher than other existing schemes and the scheme is suitable for the largescale video classification task under a complex environment.
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Received: 05 June 2009
Published: 30 March 2010
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