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Advances in Multimedia
Volume 2011, Article ID 786427, 10 pages
Research Article

Representing Images' Meanings by Associative Values with Given Lexicons Considering the Semantic Tolerance Relation

Faculty of Software and Information Science, Iwate Prefectual University, Sugo 152-52, Iwate, 020-0193 Takizawa, Japan

Received 28 January 2011; Revised 11 May 2011; Accepted 30 May 2011

Academic Editor: Nicolas Tsapatsoulis

Copyright © 2011 Ying Dai. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


An approach of representing meanings of images based on associative values with lexicons is proposed. For this, the semantic tolerance relation model (STRM) that reflects the tolerance degree between defined lexicons is generated, and two factors of semantic relevance (SR) and visual similarity (VS) are involved in generating associative values. Furthermore, the algorithm of calculating associative values using pixel-based bidirectional associative memories (BAMs) in combination with the STRM, which is easy in implementation, is depicted. The experiment results of multilexicons-based retrieval by individuals show the effectiveness and efficiency of our proposed method in finding the expected images and the improvement in retrieving accuracy because of incorporating SR with VS in representing meanings of images.