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Paper Abstract and Keywords
Presentation 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
Abstract (in Japanese) (See Japanese page) 
(in English) 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.
Keyword (in Japanese) (See Japanese page) 
(in English) Image retrieval system / object recognition / human Kansei estimation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 281, PRMU2007-124, pp. 191-196, Oct. 2007.
Paper # PRMU2007-124 
Date of Issue 2007-10-18 (PRMU) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee PRMU  
Conference Date 2007-10-25 - 2007-10-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Hotel Matsushima Daikansou 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2007-10-PRMU 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image Retrieval based on Object Extraction and Kansei Estimation 
Sub Title (in English)  
Keyword(1) Image retrieval system  
Keyword(2) object recognition  
Keyword(3) human Kansei estimation  
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1st Author's Name Nanik Suciati  
1st Author's Affiliation Hiroshima University / Sepuluh Nopember Institute of Technology (Hiroshima Univ. / ITS)
2nd Author's Name Darlis Herumurti  
2nd Author's Affiliation Sepuluh Nopember Institute of Technology (ITS)
3rd Author's Name Joko Lianto Buliali  
3rd Author's Affiliation Sepuluh Nopember Institute of Technology (ITS)
4th Author's Name Dyah Wardhani Kusuma  
4th Author's Affiliation Sepuluh Nopember Institute of Technology (ITS)
5th Author's Name Ahmad Saikhu  
5th Author's Affiliation Sepuluh Nopember Institute of Technology (ITS)
6th Author's Name Chie Muraki Asano  
6th Author's Affiliation Hiroshima University (Hiroshima Univ.)
7th Author's Name Akira Asano  
7th Author's Affiliation Hiroshima University (Hiroshima Univ.)
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Speaker Author-1 
Date Time 2007-10-26 15:10:00 
Presentation Time 25 minutes 
Registration for PRMU 
Paper # PRMU2007-124 
Volume (vol) vol.107 
Number (no) no.281 
Page pp.191-196 
#Pages 6 
Date of Issue 2007-10-18 (PRMU) 

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