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Paper Abstract and Keywords
Presentation 2010-05-14 16:00
Scene Image Recognition with Multi Level Resolution Semantic Modeling
Yoshiyuki Tanaka, Atsushi Okamoto, Xian-Hua Han (Ritsumeikan Univ.), Xiang Ruan (Omron), Yen-Wei Chen (Ritsumeikan Univ.) IE2010-44 PRMU2010-32 MI2010-32
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a multi-level resolution semantic modeling for automatic scene recognition. The basic idea of the semantic modeling is to classify local image regions into semantic concept classes such as water, sunset, or sky, and use occurrence frequency of local region’s semantic concepts for global image representation. However, how to decide size of the local image regions is a trial problem. The optimized region size would be dynamically changing for different scene or concept types. Therefore, this paper proposed a dynamical region size (Multi-level resolution) of local image regions for semantic concept model, and fusion the probabilities to scene types of several resolutions for final recognition of a scene image. Experimental results show that the recognition rate using our proposed algorithm is much better than that using the conventional semantic modeling method for scene recognition.
Keyword (in Japanese) (See Japanese page) 
(in English) Semantic Modeling / multi level resolution / scene recognition / / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 27, PRMU2010-32, pp. 169-174, May 2010.
Paper # PRMU2010-32 
Date of Issue 2010-05-06 (IE, PRMU, MI) 
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IE2010-44 PRMU2010-32 MI2010-32

Conference Information
Committee PRMU IE MI  
Conference Date 2010-05-13 - 2010-05-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Chubu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2010-05-PRMU-IE-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Scene Image Recognition with Multi Level Resolution Semantic Modeling 
Sub Title (in English)  
Keyword(1) Semantic Modeling  
Keyword(2) multi level resolution  
Keyword(3) scene recognition  
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1st Author's Name Yoshiyuki Tanaka  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Atsushi Okamoto  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Xian-Hua Han  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
4th Author's Name Xiang Ruan  
4th Author's Affiliation Omron Corporation (Omron)
5th Author's Name Yen-Wei Chen  
5th Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
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Speaker
Date Time 2010-05-14 16:00:00 
Presentation Time 30 
Registration for PRMU 
Paper # IEICE-IE2010-44,IEICE-PRMU2010-32,IEICE-MI2010-32 
Volume (vol) IEICE-110 
Number (no) no.26(IE), no.27(PRMU), no.28(MI) 
Page pp.169-174 
#Pages IEICE-6 
Date of Issue IEICE-IE-2010-05-06,IEICE-PRMU-2010-05-06,IEICE-MI-2010-05-06 


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