Representing Images' Meanings by Associative Values with Given Lexicons Considering the Semantic Tolerance Relation
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)...
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Format: | Article |
Language: | English |
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Wiley
2011-01-01
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Series: | Advances in Multimedia |
Online Access: | http://dx.doi.org/10.1155/2011/786427 |
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author | Ying Dai |
author_facet | Ying Dai |
author_sort | Ying Dai |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-33b21e96a88944fdb2b45344d7499d9d |
institution | Kabale University |
issn | 1687-5680 1687-5699 |
language | English |
publishDate | 2011-01-01 |
publisher | Wiley |
record_format | Article |
series | Advances in Multimedia |
spelling | doaj-art-33b21e96a88944fdb2b45344d7499d9d2025-02-03T01:03:42ZengWileyAdvances in Multimedia1687-56801687-56992011-01-01201110.1155/2011/786427786427Representing Images' Meanings by Associative Values with Given Lexicons Considering the Semantic Tolerance RelationYing Dai0Faculty of Software and Information Science, Iwate Prefectual University, Sugo 152-52, Iwate, 020-0193 Takizawa, JapanAn 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.http://dx.doi.org/10.1155/2011/786427 |
spellingShingle | Ying Dai Representing Images' Meanings by Associative Values with Given Lexicons Considering the Semantic Tolerance Relation Advances in Multimedia |
title | Representing Images' Meanings by Associative Values with Given Lexicons Considering the Semantic Tolerance Relation |
title_full | Representing Images' Meanings by Associative Values with Given Lexicons Considering the Semantic Tolerance Relation |
title_fullStr | Representing Images' Meanings by Associative Values with Given Lexicons Considering the Semantic Tolerance Relation |
title_full_unstemmed | Representing Images' Meanings by Associative Values with Given Lexicons Considering the Semantic Tolerance Relation |
title_short | Representing Images' Meanings by Associative Values with Given Lexicons Considering the Semantic Tolerance Relation |
title_sort | representing images meanings by associative values with given lexicons considering the semantic tolerance relation |
url | http://dx.doi.org/10.1155/2011/786427 |
work_keys_str_mv | AT yingdai representingimagesmeaningsbyassociativevalueswithgivenlexiconsconsideringthesemantictolerancerelation |