Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/111239
Title: Clustering methods for video browsing and annotation
Authors: Zhong, Di
Zhang, HongJiang 
Chang, Shih-Fu
Issue Date: 1996
Citation: Zhong, Di,Zhang, HongJiang,Chang, Shih-Fu (1996). Clustering methods for video browsing and annotation. Proceedings of SPIE - The International Society for Optical Engineering 2670 : 239-246. ScholarBank@NUS Repository.
Abstract: The large amount of video data makes it a tedious and hard job to browse and annotate them by just fast forward and rewind. Recent works in video parsing provide a foundation for building interactive and content based video browsing systems. In this paper, a generalized top-down hierarchial clustering process, which adopts partition clustering recursively at each level of the hierarchy, is studied and used to build hierarchical views of video shots. With the clustering processes, when a list of video programs or clips is provided, a browsing system can use either key-frame and/or shot features to cluster shots into classes, each of which consists of shots of similar content. After such clustering, each class of shots can be represented by an icon, which can then be displayed at the high levels of a hierarchical browser. As a result, users can know roughly the content of video shots even without moving down to a lower level of the hierarchy.
Source Title: Proceedings of SPIE - The International Society for Optical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/111239
ISBN: 0819420441
ISSN: 0277786X
Appears in Collections:Staff Publications

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