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Paper Abstract and Keywords
Presentation 2008-02-19 11:15
Automatic Identification of Perceptually Salient Objects in an Image by Combining Visual Attention Models
Masaya Kato, Mineki Takaya, Junji Maeda (Muroran IT) ITS2007-68 IE2007-251
Abstract (in Japanese) (See Japanese page) 
(in English) In the early process of the human vision, it is known that people pay preferential attention to salient objects that have strong brightness and specifical colors. Many researches have been made to achieve this process on a computer. We propose the method to automatically identify perceptually salient objects by using visual attention model based on the early process of the human vision. The proposed method enables to detect prominent objects more accuratery than the conventional methods by combining the improved version of the Itti's model and the Stentiford's model. As a result, the location and the region of salient objects are extracted from the feature maps. The proposed method could be applied to the detection of specific target or image retrieval.
Keyword (in Japanese) (See Japanese page) 
(in English) Visual Attention Model / Saliency Map / Visual Attention Map / Region of Interest / Feature Extraction / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 487, ITS2007-68, pp. 33-38, Feb. 2008.
Paper # ITS2007-68 
Date of Issue 2008-02-12 (ITS, IE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
Download PDF ITS2007-68 IE2007-251

Conference Information
Committee ITE-HI ITE-AIT ITE-ME IE ITS  
Conference Date 2008-02-18 - 2008-02-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Graduate School of Information Science and Technology Hokkaido Univ 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processings for ITS, Image Information and Television Engineering, etc. 
Paper Information
Registration To ITS 
Conference Code 2008-02-HI-CG-ME-IE-ITS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic Identification of Perceptually Salient Objects in an Image by Combining Visual Attention Models 
Sub Title (in English)  
Keyword(1) Visual Attention Model  
Keyword(2) Saliency Map  
Keyword(3) Visual Attention Map  
Keyword(4) Region of Interest  
Keyword(5) Feature Extraction  
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1st Author's Name Masaya Kato  
1st Author's Affiliation Muroran Institute of Technology (Muroran IT)
2nd Author's Name Mineki Takaya  
2nd Author's Affiliation Muroran Institute of Technology (Muroran IT)
3rd Author's Name Junji Maeda  
3rd Author's Affiliation Muroran Institute of Technology (Muroran IT)
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Speaker Author-1 
Date Time 2008-02-19 11:15:00 
Presentation Time 25 minutes 
Registration for ITS 
Paper # ITS2007-68, IE2007-251 
Volume (vol) vol.107 
Number (no) no.487(ITS), no.489(IE) 
Page pp.33-38 
#Pages
Date of Issue 2008-02-12 (ITS, IE) 


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