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Proceedings of 2009 International Symposium on Computer Science and Computational Technology (ISCSCT 2009)

Huangshan, China, December 26-28, 2009

Editors: Fei Yu, Guangxue Yue, Jian Shu, Yun Liu

AP Catalog Number: AP-PROC-CS-09CN005

ISBN: 978-952-5726-07-7 (Print), 978-952-5726-08-4 (CD-ROM)

Page(s): 458-461

Image Semantic Classification Using SVM In Image Retrieval

        Xiaohong Yu and Hong Liu

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There is a gap between low-level descriptions of image content and the semantic understanding of users to query image databases in the content-based image retrieval. In this paper, we put forward a method of classifying image regions hierarchically using their semantics and that resembles peoples’ perception more than using low-level features. The experiments show, the better precision of semantic classification justifies the feasibility of our method. It uses in image retrieval field further and get better index effect.

Index Terms

Image classification,  semantic classification, image retrieval, Super Vector Machine, keyword-based retrieval

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