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
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.
陈芬, 赖茂生. 多特征视频分类挖掘实验研究[J]. 现代图书情报技术, 2012, 28(5): 76-80.
Chen Fen, Lai Maosheng. Video Classification Using Multiple Features. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2012.05.12.
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