Translator Disclaimer
27 December 2000 Mosaic-based query paradigm for content-based video retrieval
Author Affiliations +
Proceedings Volume 4311, Internet Imaging II; (2000)
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jurgen Assfalg, Alberto Del Bimbo, and Masahito Hirakawa "Mosaic-based query paradigm for content-based video retrieval", Proc. SPIE 4311, Internet Imaging II, (27 December 2000);


Activity-based video indexing and search
Proceedings of SPIE (April 28 2010)
Developing power tools for video indexing and retrieval
Proceedings of SPIE (April 01 1994)
Learning patterns of human activity for anomaly detection
Proceedings of SPIE (April 30 2007)
New perspective on visual information retrieval
Proceedings of SPIE (December 18 2003)
Object behavior-based indexing framework for video
Proceedings of SPIE (November 22 1999)

Back to Top