Hierarchical video summarization for medical data

Xingquan Zhu; Jianping Fan; Ahmed K. Elmagarmid; Walid G. Aref

doi:10.1117/12.451110

19 December 2001 Hierarchical video summarization for medical data

Xingquan Zhu, Jianping Fan, Ahmed K. Elmagarmid, Walid G. Aref

Proceedings Volume 4676, Storage and Retrieval for Media Databases 2002; (2001) https://doi.org/10.1117/12.451110
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

To provide users with an overview of medical video content at various levels of abstraction which can be used for more efficient database browsing and access, a hierarchical video summarization strategy has been developed and is presented in this paper. To generate an overview, the key frames of a video are preprocessed to extract special frames (black frames, slides, clip art, sketch drawings) and special regions (faces, skin or blood-red areas). A shot grouping method is then applied to merge the spatially or temporally related shots into groups. The visual features and knowledge from the video shots are integrated to assign the groups into predefined semantic categories. Based on the video groups and their semantic categories, video summaries for different levels are constructed by group merging, hierarchical group clustering and semantic category selection. Based on this strategy, a user can select the layer of the summary to access. The higher the layer, the more concise the video summary; the lower the layer, the greater the detail contained in the summary.

Citation Download Citation

Xingquan Zhu, Jianping Fan, Ahmed K. Elmagarmid, and Walid G. Aref "Hierarchical video summarization for medical data", Proc. SPIE 4676, Storage and Retrieval for Media Databases 2002, (19 December 2001); https://doi.org/10.1117/12.451110

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