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
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.
陈芬, 苏新宁. 视频主对象特征抽取与分类挖掘研究[J]. 现代图书情报技术, 2013, 29(10): 31-35.
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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