Share Email Print
cover

Proceedings Paper

Virage image search engine: an open framework for image management
Author(s): Jeffrey R. Bach; Charles Fuller; Amarnath Gupta; Arun Hampapur; Bradley Horowitz; Rich Humphrey; Ramesh C. Jain; Chiao-Fe Shu
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Until recently, the management of large image databases has relied exclusively on manually entered alphanumeric annotations. Systems are beginning to emerge in both the research and commercial sectors based on 'content-based' image retrieval, a technique which explicitly manages image assets by directly representing their visual attributes. The Virage image search engine provides an open framework for building such systems. The Virage engine expresses visual features as image 'primitives.' Primitives can be very general (such as color, shape, or texture) or quite domain specific (face recognition, cancer cell detection, etc.). The basic philosophy underlying this architecture is a transformation from the data-rich representation of explicit image pixels to a compact, semantic-rich representation of visually salient characteristics. In practice, the design of such primitives is non-trivial, and is driven by a number of conflicting real-world constraints (e.g. computation time vs. accuracy). The virage engine provides an open framework for developers to 'plug-in' primitives to solve specific image management problems. The architecture has been designed to support both static images and video in a unified paradigm. The infrastructure provided by the Virage engine can be utilized to address high-level problems as well, such as automatic, unsupervised keyword assignment, or image classification.

Paper Details

Date Published: 13 March 1996
PDF: 12 pages
Proc. SPIE 2670, Storage and Retrieval for Still Image and Video Databases IV, (13 March 1996); doi: 10.1117/12.234785
Show Author Affiliations
Jeffrey R. Bach, Virage, Inc. (United States)
Charles Fuller, Virage, Inc. (United States)
Amarnath Gupta, Virage, Inc. (United States)
Arun Hampapur, Virage, Inc. (United States)
Bradley Horowitz, Virage, Inc. (United States)
Rich Humphrey, Virage, Inc. (United States)
Ramesh C. Jain, Virage, Inc. (United States)
Chiao-Fe Shu, Virage, Inc. (United States)


Published in SPIE Proceedings Vol. 2670:
Storage and Retrieval for Still Image and Video Databases IV
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

© SPIE. Terms of Use
Back to Top