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18 December 2003 Issues in managing image and video data
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Abstract
This paper presents an overview of our recent work on managing image and video data. The first half of the paper describes a representation for the semantic spatial layout of video frames. In particular, Markov random fields are used to characterize the spatial arrangement of frame tiles that are labeled using support vector machine classifiers. The representation is shown to support similarity retrieval at the semantic level as demonstrated in a prototype video management system. The second half of the paper describes a method for efficiently computing nearest neighbor queries in high-dimensional feature spaces in a relevance feedback framework.
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Shawn D. Newsam, Jelena Tesic, Lei Wang, and B. S. Manjunath "Issues in managing image and video data", Proc. SPIE 5307, Storage and Retrieval Methods and Applications for Multimedia 2004, (18 December 2003); https://doi.org/10.1117/12.538096
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