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Proceedings Paper

Comparative study of content-base image retrieval and video fingerprinting
Author(s): Xiaofan Lin
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Paper Abstract

Content-based image retrieval (CBIR) has been studied for nearly two decades since IBM's research on QBIC (Query by Image Content) [1]. In the past decade, another related but different area, video fingerprinting, is attracting more and more attention. There are numerous papers published in both areas and researchers from the two areas are sporadically citing results from each other. However, as far as we know, there is no comprehensive comparison between those two areas. This paper attempts to fill in this gap by explicitly discussing the wide array of differences and connections between those two areas. We believe that such a comparative study can facilitate researchers migrating or crosspollinating between the two areas.

Paper Details

Date Published: 10 February 2010
PDF: 8 pages
Proc. SPIE 7540, Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV, 754012 (10 February 2010); doi: 10.1117/12.835813
Show Author Affiliations
Xiaofan Lin, Vobile Inc. (United States)


Published in SPIE Proceedings Vol. 7540:
Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV
Theo Gevers; Qian Lin; Raimondo Schettini; Zhigang Fan; Cees Snoek, Editor(s)

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