27 December 2000 Mosaic-based query paradigm for content-based video retrieval
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To support widespread deployment and usage of content-based video retrieval (CBVR), definition of simple (i.e. intuitive), yet powerful query interfaces must accompany the ongoing investigation of feature descriptors, and of related extraction and indexing techniques. In this paper we propose a visual query paradigm for CBVR which develops on mosaicing- a well-known technique in computer vision and graphics for creating a comprehensive overview of a scene reproduced in a set of images. The language underlying the paradigm supports querying for video shots by specifying camera motion, as well as motion and visual appearance of objects. This approach supports a consistent reproduction of the spatio-temporal nature of videos in both query specification and visualization of retrieval results, which enables users to specify and refine queries in an iterative way.
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Jurgen Assfalg, Jurgen Assfalg, Alberto Del Bimbo, Alberto Del Bimbo, Masahito Hirakawa, Masahito Hirakawa, } "Mosaic-based query paradigm for content-based video retrieval", Proc. SPIE 4311, Internet Imaging II, (27 December 2000); doi: 10.1117/12.411883; https://doi.org/10.1117/12.411883


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