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Paper Abstract and Keywords
Presentation 2018-10-19 14:40
Classification Method for Texture Types Based on Texture Analysis Results of HEVC Image Quality in the Shitsukan Research Database
Norifumi Kawabata (Nagoya Univ.) IMQ2018-13
Abstract (in Japanese) (See Japanese page) 
(in English) As definition of Shitsukan or Texture, there are many kind of meaning and interpretation. Therefore, there were many studies for Texture to evaluate quantitatively. In the information, image, and Kansei engineering fields, there were ergonomics studies by experiments as the center of subjective evaluation, by using words for Texture up to now. Certainly, if we can carry out subjective assessment method, the statistical estimation is enabled. However, it is difficult for big data analysis to adapt them each time. Therefore, the objective assessment system for texture is needed. Particularly, in the transportation and information systems field, it is required for the surface's texture of objects and road to construct the system which is enable to measure and evaluate in real time. In this paper, we used the Shitsukan Research Database from Web for free of charge. First, we generated the texture evaluation images by H.265/HEVC. And then, we assessed the generated images by texture analysis, and discussed results. Next, based on experimental results, we considered for classification method of texture types by Support Vector Machine (SVM). Finally, we discussed including assumption of system's automation.
Keyword (in Japanese) (See Japanese page) 
(in English) Texture / H.265/HEVC / Texture Features / Gray-Level Co-Occurrence Matrix (GLCM) / Support Vector Machine (SVM) / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 256, IMQ2018-13, pp. 13-18, Oct. 2018.
Paper # IMQ2018-13 
Date of Issue 2018-10-12 (IMQ) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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 IMQ  
Conference Date 2018-10-19 - 2018-10-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Visual Perception and IMQ 
Paper Information
Registration To IMQ 
Conference Code 2018-10-IMQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Classification Method for Texture Types Based on Texture Analysis Results of HEVC Image Quality in the Shitsukan Research Database 
Sub Title (in English)  
Keyword(1) Texture  
Keyword(2) H.265/HEVC  
Keyword(3) Texture Features  
Keyword(4) Gray-Level Co-Occurrence Matrix (GLCM)  
Keyword(5) Support Vector Machine (SVM)  
1st Author's Name Norifumi Kawabata  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2018-10-19 14:40:00 
Presentation Time 25 minutes 
Registration for IMQ 
Paper # IMQ2018-13 
Volume (vol) vol.118 
Number (no) no.256 
Page pp.13-18 
Date of Issue 2018-10-12 (IMQ) 

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