Di Zhong, HongJiang Zhang, Shih-Fu Chang. Clustering Methods for Video Browsing and Annotation. In IS&T/SPIE Symposium on Electronic Imaging: Science and Technology (EI'96) - Storage and Retrieval for Image and Video Database, San Jose, CA, February 1996.
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In this paper, a generalized top-down hierarchical 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 lower level of the hierarchy
@InProceedings{dvmmPub154,
Author = {Zhong, Di and Zhang, HongJiang and Chang, Shih-Fu},
Title = {Clustering Methods for Video Browsing and Annotation},
BookTitle = {IS&T/SPIE Symposium on Electronic Imaging: Science and Technology (EI'96) - Storage and Retrieval for Image and Video Database},
Address = {San Jose, CA},
Month = {February},
Year = {1996}
}
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