(Enter summary)
Abstract: A system is proposed that combines textual and visual
statistics in a single index vector for content-based search
of a WWW image database. Textual statistics are captured
in vector form using latent semantic indexing (LSI) based
on text in the containing HTML document. Visual statistics
are captured in vector form using color and orientation
histograms. By using an integrated approach, it becomes
possible to take advantage of possible statistical couplings
between the content of the document... (Update)
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BibTeX entry: (Update)
M. La Cascia, S. Sethi, and S. Sclaro#. Combining textual and visual cues for content-based image retrieval on the World Wide Web. In IEEE Workshop on Content-based Access of Image and Video Libraries, Santa Barbara, CA, June 1998. http://citeseer.ist.psu.edu/lacascia98combining.html More
@techreport{ cascia98combining,
author = "Marco La Cascia and Sarathendu Sethi and Stan Sclaroff",
title = "Combining Textual and Visual Cues for Content-based Image Retrieval on the World Wide Web",
number = "1998-004",
month = "9,",
year = "1998",
url = "citeseer.ist.psu.edu/lacascia98combining.html" }
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Introduction to Modern Information Retrieval (context) - Salton, McGill - 1989
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