Image Retrieval based on Object Extraction and Kansei Estimation(Internationa Session 8)
スポンサーリンク
概要
- 論文の詳細を見る
This research proposes an image retrieval system based on object extraction and Kansei (that is, a high-order function of the brain, including inspiration, intuition, pleasure and pain, taste, curiosity, aesthetics, emotion, sensitivity, attachment and creativity) estimation, which enables retrieving images by using object names and/or human Kansei as retrieval keywords. The proposed system focuses on the extracting objects from image and the relationships between objects and human Kansei. It depicts more clearly how human impression causes from characteristics of the extracted objects in images, whereas other methods evaluate impressions from characteristics of the whole or parts of images. Some experimental results in object recognition, human Kansei estimation and image retrieval are presented.
- 社団法人電子情報通信学会の論文
- 2007-10-18
著者
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Asano Akira
Department of Information engineering, Hiroshima University
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Muraki(asano) Chie
International Student Center Hiroshima University
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Asano Akira
Department Of Information Engineering Graduate School Of Engineering Hiroshima University
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Suciati Nanik
Department of Informatics, Faculty of Information Technology, Sepuluh Nopember Institute of Technolo
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Herumurti Darlis
Department of Informatics, Faculty of Information Technology, Sepuluh Nopember Institute of Technolo
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Buliali Joko
Department of Informatics, Faculty of Information Technology, Sepuluh Nopember Institute of Technolo
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Kusuma Dyah
Department of Informatics, Faculty of Information Technology, Sepuluh Nopember Institute of Technolo
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Saikhu Ahmad
Department of Informatics, Faculty of Information Technology, Sepuluh Nopember Institute of Technolo
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Kusuma Dyah
Department Of Informatics Faculty Of Information Technology Sepuluh Nopember Institute Of Technology
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Asano Akira
Department Of Applied Physics Osaka University
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Saikhu Ahmad
Department Of Informatics Faculty Of Information Technology Sepuluh Nopember Institute Of Technology
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Buliali Joko
Department Of Informatics Faculty Of Information Technology Sepuluh Nopember Institute Of Technology
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Suciati Nanik
Department Of Informatics Faculty Of Information Technology Sepuluh Nopember Institute Of Technology
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Herumurti Darlis
Department Of Informatics Faculty Of Information Technology Sepuluh Nopember Institute Of Technology
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