Automatic Categorization for WWW Images with Applications for Retrieval Navigation

We propose a novel categorization for web images based on their image and text data, and propose new applications using this categorization. We have defined eight categories of images used in web pages, constructed a tree structure for the categorization, and applied Support Vector Machines (SVMs) t...

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Bibliographic Details
Published inAdvances in Multimedia Information Processing - PCM 2004 pp. 174 - 181
Main Authors Nakahira, Koji, Ueno, Satoshi, Aizawa, Kiyoharu
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 01.01.2004
SeriesLecture Notes in Computer Science
Subjects
Automatic Categorization
Color Histogram
Natural Image
Photo Image
Radial Basis Function Kernel
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Summary:We propose a novel categorization for web images based on their image and text data, and propose new applications using this categorization. We have defined eight categories of images used in web pages, constructed a tree structure for the categorization, and applied Support Vector Machines (SVMs) to each stage of the categorization. We then conducted experiments to categorize a large number of web images, collected from the web sites of 130 listed Japanese companies, and found that they were well categorized with 90% precision. We discuss new applications using the image categories to help users navigate web pages. In addition to this, we examined a correlation with the image categories and the classification of web pages, and conducted an experiment to construct an object from web image.
ISBN:354023974X
9783540239741
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-30541-5_22