SPECIAL SECTION ON INTERNET IMAGING

Multimodal search in collections of images and text

[+] Author Affiliations
Simone Santini

University of California, San Diego MC 0715, Bio-Informatics Research Network, Department of Neuroscience, 9500 Gilman Drive, La Jolla, California?92093-0715, Tel: (858) 822-0207, Fax: (858) 822-0828 E-mail: ssantini@ncmir.ucsd.edu

J. Electron. Imaging. 11(4), 455-468 (Oct 01, 2002). doi:10.1117/1.1504104
History: Received Feb. 13, 2002; Revised May 31, 2002; Accepted Jun. 14, 2002; Online October 15, 2002
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This paper presents a data model for images immersed in the world wide web and that derive their meaning from visual similarity, from the connection with the text of the pages that contain them, and from the link structure of the web. I will model images on the web as a graph whose nodes are either text documents or images, and whose edges are links, labeled with measures of relevance of one document towards the other. The paper presents briefly the features used to characterize the text and the visual aspect of the images, and then goes on to present a data algebra suitable to navigate and query the database. © 2002 SPIE and IS&T.

© 2002 SPIE and IS&T

Topics

Databases ; Matrices

Citation

Simone Santini
"Multimodal search in collections of images and text", J. Electron. Imaging. 11(4), 455-468 (Oct 01, 2002). ; http://dx.doi.org/10.1117/1.1504104


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