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Presentation 2016-12-16 14:20
Application of Classification Algorithm for the Image Quality Assessment of Multi-view 3D CG Images and 5K Images by Using S-CIELAB Color Space
Norifumi Kawabata, Masaru Miyao (Nagoya Univ.) IMQ2016-18
Abstract (in Japanese) (See Japanese page) 
(in English) Toward the 2020 Tokyo Olympic Games, it is expected that general broadcasting of 4K picture quality will be started. Therefore, it becomes important to assess high-definition image quality. On the other hand, thanks to improvement of screen resolution, 3D image and video quality also improve. It is advanced to study for the glassless 3D and multi-view 3D image and video quality assessment. Previously, we studied for the multi-view 3D coded image quality assessment. On the other hand, there were some studies for high-definition image quality, however, it is not clear for mutual relationship among the image resolution, the number of viewpoint, and color information. In this paper, first, we carried out the subjective quality assessment of 3D CG images coded and decoded by H.265/HEVC with both 8 viewpoints parallax barrier method and 5K high-definition retina method, and then, we analyzed their results, and classified by using Support Vector Machine (SVM). Next, we carried out the objective quality assessment by measuring luminance $L^ast$ by using S-CIELAB color space, and then, by measuring color difference $Delta E_{00}$ by using CIEDE2000. And then, we considered the relation between subjective and objective assessments.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-view 3D Image / 5K Image / Super Resolution / Luminance / CIEDE2000 / Support Vector Machine / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 369, IMQ2016-18, pp. 13-18, Dec. 2016.
Paper # IMQ2016-18 
Date of Issue 2016-12-09 (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 2016-12-16 - 2016-12-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo University of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Computer Graphics and overall ontent of IMQ 
Paper Information
Registration To IMQ 
Conference Code 2016-12-IMQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Application of Classification Algorithm for the Image Quality Assessment of Multi-view 3D CG Images and 5K Images by Using S-CIELAB Color Space 
Sub Title (in English)  
Keyword(1) Multi-view 3D Image  
Keyword(2) 5K Image  
Keyword(3) Super Resolution  
Keyword(4) Luminance  
Keyword(5) CIEDE2000  
Keyword(6) Support Vector Machine  
1st Author's Name Norifumi Kawabata  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Masaru Miyao  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
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Date Time 2016-12-16 14:20:00 
Presentation Time 25 
Registration for IMQ 
Paper # IEICE-IMQ2016-18 
Volume (vol) IEICE-116 
Number (no) no.369 
Page pp.13-18 
#Pages IEICE-6 
Date of Issue IEICE-IMQ-2016-12-09 

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