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作者机构:Dept. of Computer Science Hong Kong University of Science and Technology Kowloon Hong Kong
出 版 物:《MULTIMEDIA TOOLS AND APPLICATIONS》 (多媒体工具和应用)
年 卷 期:1997年第4卷第1期
页 面:7-28页
核心收录:
学科分类:0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:Sino Software Research Center University of Science & Technology
主 题:video database video editing and classification dynamic object clustering extended object-oriented techniques automatic video data structuring camera break detection and key frame selection
摘 要:Video data management is fast becoming one of the most important topics in multi media databases. In this paper, we describe the development of an experimental video information management system, called VIM , bring implemented at the Hong Kong University of Science & Technology, which employs two fundamental components-i) a Video Classification Component (VCC) for the generation of effective indices necessary for structuring the video data, and ii) a Conceptual Clustering Mechanism (CCM) having extended object-oriented features and techniques. By incorporating CCM concepts and techniques together with the classified features and indices generated from the VCC, the information management system enables users to form dynamically, among other things, video programs (or segments) from existing objects based on semantic features/index terms. A prototype of this system has been constructed, using a persistent object storage manager (viz., EOS), on Sun4 workstations.