DocumentCode :
2632653
Title :
Video abstraction: summarizing video content for retrieval and visualization
Author :
Pope, Arthur ; Kumar, Rakesh ; Sawhney, Harpreet ; Wan, Charles
Author_Institution :
Sarnoff Corp., Princeton, NJ, USA
Volume :
1
fYear :
1998
fDate :
1-4 Nov. 1998
Firstpage :
915
Abstract :
We describe a scheme for summarizing video content using mosaics and moving object trajectories, and an approach exploiting this scheme for content-based retrieval and scene visualization. Video is segmented into clips using scene cut detection. Within each clip, static scene content is summarized by a mosaic, and dynamic content, by segmenting and tracking moving objects. If available, sensor view point data is used to map these summaries to physical coordinates. A collection of clips can be browsed or searched on appearance as depicted by the mosaic, or on activity as depicted by tracks. The mosaic and tracks support an enhanced video viewer that allows the contents of entire clips to be examined rapidly-for example, as tracks overlayed upon a mosaic.
Keywords :
content-based retrieval; data visualisation; image motion analysis; image representation; image segmentation; online front-ends; video databases; video signal processing; Web delivery; browsing; dynamic content; mosaics; moving object trajectories; scene visualization; static scene content; video abstraction; video clips; video content retrieval; video content summary; video content visualization; video segmentation; Abstracts; Casting; Content based retrieval; Data visualization; Layout; Monitoring; Object detection; Reconnaissance; Security; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-5148-7
Type :
conf
DOI :
10.1109/ACSSC.1998.751015
Filename :
751015
Link To Document :
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