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Proceedings Paper

Issues in managing image and video data
Author(s): Shawn D. Newsam; Jelena Tesic; Lei Wang; B. S. Manjunath
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Paper 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.

Paper Details

Date Published: 18 December 2003
PDF: 12 pages
Proc. SPIE 5307, Storage and Retrieval Methods and Applications for Multimedia 2004, (18 December 2003); doi: 10.1117/12.538096
Show Author Affiliations
Shawn D. Newsam, Lawrence Livermore National Lab. (United States)
Jelena Tesic, Univ. of California/Santa Barbara (United States)
Lei Wang, Univ. of California/Santa Barbara (United States)
B. S. Manjunath, Univ. of California/Santa Barbara (United States)


Published in SPIE Proceedings Vol. 5307:
Storage and Retrieval Methods and Applications for Multimedia 2004
Minerva M. Yeung; Rainer W. Lienhart; Chung-Sheng Li, Editor(s)

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