Text Semantics Based Automatic Summarization for Chinese Videos

作     者：WANG Xingqi ZHA Taotao WU Chunming FANG Jinglong JIANG Ming 

作者机构：School of Computer Science Hangzhou Dianzi University College of Computer Science and Technology Zhejiang University 

出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))

年 卷 期：2015年第24卷第3期

页      面：462-467页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National High Technology Development863 Program of China(No.2011AA01A107) the Zhejiang Provincial Technical Plan Project(No.2011C13008,No.2013C01113) Defense Industrial Technology Development Program(No.A3920110002,No.202012A001) 

主　　题：Video summarization Ant colony algorithm Maximum matching method Singular value decomposition(SVD) 

摘      要：This paper is concerned with the task of automatically summarizing videos, which is important for many video-related applications. Examples include video retrieval, accessing and categorization, et al. Our approach summarizes video semantically from the texts embedded in videos. To improve the accuracy, ant colony algorithm,maximum matching method, Singular value decomposition(SVD) are employed for locating text region, segmenting words and clustering sentences, respectively. Based on these methods, a prototype is developed. In an experimental evaluation on the real world video datasets, we show that our proposed approach could provide accurate, satisfactory performance.