Comparative study of content-based image retrieval and video fingerprinting

Xiaofan Lin

doi:10.1117/12.835813

10 February 2010 Comparative study of content-base image retrieval and video fingerprinting

Xiaofan Lin

Proceedings Volume 7540, Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV; 754012 (2010) https://doi.org/10.1117/12.835813
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

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.

Citation Download Citation

Xiaofan Lin "Comparative study of content-base image retrieval and video fingerprinting", Proc. SPIE 7540, Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV, 754012 (10 February 2010); https://doi.org/10.1117/12.835813

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