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Proceedings Paper

Automatic image categorization using MPEG-7 description
Author(s): Seung Ji Yang; Jeong Hyun Yoon; Yong Man Ro
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Paper Abstract

We propose an automatic image categorization technique for content-based image filtering and retrieval system. In this paper, category-feature database for image categorization is constructed on human visual perception. Query images are automatically classified into predefined categories by content-based description using MPEG-7. Similarity distances at each category are measured using multiple MPEG-7 descriptors. In this paper, a matching technique for combining multiple similarity distances is proposed. The proposed method takes into account the categorization performance of single descriptor at each category. To evaluate the proposed method, it is applied to a great number of query images randomly collected from the Internet and other image databases.

Paper Details

Date Published: 10 January 2003
PDF: 9 pages
Proc. SPIE 5018, Internet Imaging IV, (10 January 2003); doi: 10.1117/12.476178
Show Author Affiliations
Seung Ji Yang, Information and Communications Univ. (South Korea)
Jeong Hyun Yoon, Information and Communications Univ. (South Korea)
Yong Man Ro, Information and Communications Univ. (South Korea)

Published in SPIE Proceedings Vol. 5018:
Internet Imaging IV
Simone Santini; Raimondo Schettini, Editor(s)

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