Word Concept Analysis and Description for Cross-media Reference Based on Mental Image Directed Semantic Theory

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概要

• 論文の詳細を見る

• 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_<md> for describing it. This paper presents the outline of word concept analysis and description based on L_<md>, and its application to cross-media reference between linguistic and pictorial expressions of space and time.

• 社団法人電子情報通信学会の論文
• 2005-02-18

著者

• Yokota Masao

  Faculty Of Information Engineering Fukuoka Institute Of Technology

関連論文

• Word Concept Analysis and Description for Cross-media Reference Based on Mental Image Directed Semantic Theory
• Word Concept Analysis and Description for Cross-media Reference Based on Mental Image Directed Semantic Theory
• Proposal of tempological connectives for intuitive human-system interaction (知能ソフトウェア工学)
• Linguistic Interpretation of Human Motion Based on a Multimedia Description Language
• A Semantic Analysis System Based on HPSG with the Mental-Image Directed Semantic Theory Built in

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