Paper
15 January 1997 Virage video engine
Arun Hampapur, Amarnath Gupta, Bradley Horowitz, Chiao-Fe Shu, Charles Fuller, Jeffrey R. Bach, Monika Gorkani, Ramesh C. Jain
Author Affiliations +
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arun Hampapur, Amarnath Gupta, Bradley Horowitz, Chiao-Fe Shu, Charles Fuller, Jeffrey R. Bach, Monika Gorkani, and Ramesh C. Jain "Virage video engine", Proc. SPIE 3022, Storage and Retrieval for Image and Video Databases V, (15 January 1997); https://doi.org/10.1117/12.263407
Lens.org Logo
CITATIONS
Cited by 175 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Video

Video processing

Databases

Image processing

Visualization

Motion measurement

Human-machine interfaces

RELATED CONTENT

Video browsing using brightness data
Proceedings of SPIE (November 01 1991)
Developing power tools for video indexing and retrieval
Proceedings of SPIE (April 01 1994)
UCDL:a language for audio-visual content description
Proceedings of SPIE (August 24 1999)
Multimedia interactions and how they can be realized
Proceedings of SPIE (March 14 1995)
Updates to the QBIC system
Proceedings of SPIE (December 23 1997)
Feature management for large video databases
Proceedings of SPIE (April 14 1993)

Back to Top