Automatic Video Pattern Recognition Based on Combination of MPEG-7 Descriptors and Second-Prediction Strategy

摘要：

As the Internet and multimedia technology develops, the content security of the multimedia has become more and more important. To distinguish various contents in the multimedia, we present an approach for automatic video classification based on combination of MPEG-7 descriptors and second-prediction strategy. In this paper, color, texture, shape and motion descriptors are extracted from five different genres of videos and combined as a whole feature. Then we put the feature into the SVM classifier to be trained. We choose the 1-1 method for SVM multi-class classification, and use the second-prediction strategy to improve the accuracy of video classification. Finally, we test our approach on a broad range of video data and achieve an overall classification accuracy of 98.80％.

关键词： video classification MPEG-7 descriptors second-prediction support vector machine

作者: Xinghao Jiang Tanfeng Sun Bin Chen Rongjie Li Bing Feng

作者单位: School of Information Security Engineering, Shanghai Jiao-tong University, Shanghai, China Shanghai School of Information Security Engineering, Shanghai Jiao-tong University, Shanghai, China

会议类型: 国际会议

会议名称: Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)

会议地点: 南昌

会议语种:英文

页码: 199-202

在线出版日期: 2009-05-22（万方平台首次上网日期，不代表论文的发表时间）