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Paper Abstract and Keywords
Presentation 2021-02-18 14:50
Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC
Norifumi Kawabata (Tokyo Univ. of Science) ITS2020-30 IE2020-44
Abstract (in Japanese) (See Japanese page) 
(in English) As one of purpose of study on image segmentation, we are able to consider whether between object and background region can be judged or not. Thus far, we studied on multi-view 3D CG image quality assessment in the case of occurring the coded degradation for object or background region with 8 viewpoints parallax barrier method. As a result, it is enough to obtain knowledge for subjective quality assessment. However, for objective quality assessment, this is estimation by using data mining. On the other hand, by spreading of deep learning theory, we are able to use deep convolutional neural network easier comparatively. In this paper, we produced, proposed, evaluated, and discussed for data set and platform appropriately in order to carry out semantic segmentation with high efficiency of 3D CG images encoded and decoded by H.265/HEVC.
Keyword (in Japanese) (See Japanese page) 
(in English) Learning Data / Evaluation Data / H.265/HEVC / JPEG / Deep Convolutional Neural Network / Semantic Segmentation / Confusion Matrix / Intersection over Union (IoU)  
Reference Info. IEICE Tech. Rep., vol. 120, no. 364, IE2020-44, pp. 19-24, Feb. 2021.
Paper # IE2020-44 
Date of Issue 2021-02-11 (ITS, IE) 
ISSN 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)
Download PDF ITS2020-30 IE2020-44

Conference Information
Conference Date 2021-02-18 - 2021-02-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To IE 
Conference Code 2021-02-IE-ITS-MMS-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC 
Sub Title (in English)  
Keyword(1) Learning Data  
Keyword(2) Evaluation Data  
Keyword(3) H.265/HEVC  
Keyword(4) JPEG  
Keyword(5) Deep Convolutional Neural Network  
Keyword(6) Semantic Segmentation  
Keyword(7) Confusion Matrix  
Keyword(8) Intersection over Union (IoU)  
1st Author's Name Norifumi Kawabata  
1st Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
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Speaker Author-1 
Date Time 2021-02-18 14:50:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # ITS2020-30, IE2020-44 
Volume (vol) vol.120 
Number (no) no.363(ITS), no.364(IE) 
Page pp.19-24 
Date of Issue 2021-02-11 (ITS, IE) 

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