Presentation | 2005-02-25 Word Concept Analysis and Description for Cross-media Reference Based on Mental Image Directed Semantic Theory Masao Yokota, |
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Abstract(in English) | In general, it is very difficult for people to exploit necessary information from the immense multimedia contents over the WWW. It is still more difficult to search for desirable contents by queries in different media. for example, text queries for pictorial contents. In this case. intelligent systems facilitating cross-media reference are very helpful. Mental Image Directed Semantic Theory (MIDST) has proposed a omnisensual mental image model and a formal language L_ |
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Paper # | NLC2004-121,PRMU2004-203 |
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Committee | NLC |
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Conference Date | 2005/2/18(1days) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
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Title (in English) | Word Concept Analysis and Description for Cross-media Reference Based on Mental Image Directed Semantic Theory |
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1st Author's Name | Masao Yokota |
1st Author's Affiliation | Faculty of Information Engineering Fukuoka Institute of Technology() |
Date | 2005-02-25 |
Paper # | NLC2004-121,PRMU2004-203 |
Volume (vol) | vol.104 |
Number (no) | 668 |
Page | pp.pp.- |
#Pages | 6 |
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