講演抄録/キーワード |
講演名 |
2007-10-26 15:10
Image Retrieval based on Object Extraction and Kansei Estimation ○Nanik Suciati(Hiroshima Univ. / ITS)・Darlis Herumurti・Joko Lianto Buliali・Dyah Wardhani Kusuma・Ahmad Saikhu(ITS)・Chie Muraki Asano・Akira Asano(Hiroshima Univ.) PRMU2007-124 |
抄録 |
(和) |
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. |
(英) |
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. |
キーワード |
(和) |
Image retrieval system / object recognition / human Kansei estimation / / / / / |
(英) |
Image retrieval system / object recognition / human Kansei estimation / / / / / |
文献情報 |
信学技報, vol. 107, no. 281, PRMU2007-124, pp. 191-196, 2007年10月. |
資料番号 |
PRMU2007-124 |
発行日 |
2007-10-18 (PRMU) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
PRMU2007-124 |
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