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Proceedings Paper

Virage video engine
Author(s): Arun Hampapur; Amarnath Gupta; Bradley Horowitz; Chiao-Fe Shu; Charles Fuller; Jeffrey R. Bach; Monika Gorkani; Ramesh C. Jain
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Paper Abstract

The temporal and multi-modal nature of video increases the dimensionality of content based retrieval problem. This places new demands on the indexing and retrieval tools required. The Virage Video Engine (VVE) with the default set of primitives provide the necessary frame work and basic tools for video content based retrieval. The video engine is a flexible platform independent architecture which provides support for processing multiple synchronized data streams like image sequences, audio and closed captions. The architecture allows for multi-modal indexing and retrieval of video through the use of media specific primitives. This paper presents the use of the VVE framework for content based video retrieval.

Paper Details

Date Published: 15 January 1997
PDF: 11 pages
Proc. SPIE 3022, Storage and Retrieval for Image and Video Databases V, (15 January 1997); doi: 10.1117/12.263407
Show Author Affiliations
Arun Hampapur, Virage Inc. (United States)
Amarnath Gupta, Virage Inc. (United States)
Bradley Horowitz, Virage Inc. (United States)
Chiao-Fe Shu, Virage Inc. (United States)
Charles Fuller, Virage Inc. (United States)
Jeffrey R. Bach, Virage Inc. (United States)
Monika Gorkani, Virage Inc. (United States)
Ramesh C. Jain, Virage Inc. (United States)

Published in SPIE Proceedings Vol. 3022:
Storage and Retrieval for Image and Video Databases V
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

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