Representing images' meanings by associative values with given lexicons considering the semantic tolerance relation

Authors:
Ying Dai
Affiliations:
Faculty of Software and Information Science, Iwate Prefectual University, Iwate, Takizawa, Japan
Venue:
Advances in Multimedia
Year:
2011

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Abstract

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 ofmultilexicons-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.