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Proceedings Paper

Multimedia indexing over the Web
Author(s): Brent Agnew; Christos Faloutsos; Zhenyu Wang; Donald J. Welch; Xiaogang Xue
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Paper Abstract

There has been work on database systems that can retrieve multimedia objects by their content. We are extending this work by using the World Wide Web as source and storage for multimedia objects much like current text search engines do for textual information. A system that can access all types of multimedia objects by their content is a formidable task and improvements are constantly being made to indexing techniques. We have taken an important first step in demonstrating the viability of this technique while laying the groundwork for a larger, more capable system. We have implemented a simple indexing scheme while concentrating on building the infrastructure to support this system. Our system can retrieve references to images on the WWW, index those images, and store those images using spatial access methods. We then use query by example to find a set of images on the WWW that resemble our query image. Due to its design, it is easy to include additional context features, to substitute different indexing schemes, and add other types of multimedia to our system like time sequences, voice and video.

Paper Details

Date Published: 15 January 1997
PDF: 12 pages
Proc. SPIE 3022, Storage and Retrieval for Image and Video Databases V, (15 January 1997); doi: 10.1117/12.263445
Show Author Affiliations
Brent Agnew, Univ. of Maryland/College Park (United States)
Christos Faloutsos, Univ. of Maryland/College Park (United States)
Zhenyu Wang, Univ. of Maryland/College Park (United States)
Donald J. Welch, Univ. of Maryland/College Park and U.S. Army (United States)
Xiaogang Xue, Univ. of Maryland/College Park (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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