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Paper Abstract and Keywords
Presentation 2017-12-15 13:55
A Study of Diagnostic Imaging System for Coded Defect Detection of Certain Viewpoints on Multi-view 3D CG Images
Norifumi Kawabata (Chiba Univ.) IMQ2017-21
Abstract (in Japanese) (See Japanese page) 
(in English) At present, in the engineering fields, the medical application for multi-view 3D images and 8K UHDTV images is advanced rapidly. Therefore, it is important for the studies on diagnostic imaging systems as the interdisciplinary research field enabled to approach from both medical and engineering. Up to now, the diagnostic imaging was carried out based on manual handling by professional doctors and health care workers. However, it is enable to diagnose images automatically by development of the computer systems. Therefore, it is required for approach from information science and engineering fields. For generating multi-view 3D images, if we are able to support whether workers are able to use correctly or not, and if the coded defect detection and restoration for their images are possible, we consider possibility towards medical applications in the near future. In this paper, first, we diagnosed automatically for multi-view 3D images in the case of occurring defect by encoded and decoded degradation at all or certain viewpoints by H.265/HEVC. Next, we assessed and estimated quantitatively in terms of the coded image quality in order to clarify how we are able to detect the coded defect.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-view 3D Image / H.265/HEVC / Peak Signal to Noise Ratio (PSNR) / Diagnostic Imaging / Data Mining / Support Vector Machine (SVM) / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 356, IMQ2017-21, pp. 7-12, Dec. 2017.
Paper # IMQ2017-21 
Date of Issue 2017-12-08 (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 2017-12-15 - 2017-12-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Shizuoka University, Hamamatsu Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Picture Display, etc. 
Paper Information
Registration To IMQ 
Conference Code 2017-12-IMQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Diagnostic Imaging System for Coded Defect Detection of Certain Viewpoints on Multi-view 3D CG Images 
Sub Title (in English)  
Keyword(1) Multi-view 3D Image  
Keyword(2) H.265/HEVC  
Keyword(3) Peak Signal to Noise Ratio (PSNR)  
Keyword(4) Diagnostic Imaging  
Keyword(5) Data Mining  
Keyword(6) Support Vector Machine (SVM)  
1st Author's Name Norifumi Kawabata  
1st Author's Affiliation Chiba University (Chiba Univ.)
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Speaker Author-1 
Date Time 2017-12-15 13:55:00 
Presentation Time 25 minutes 
Registration for IMQ 
Paper # IMQ2017-21 
Volume (vol) vol.117 
Number (no) no.356 
Page pp.7-12 
Date of Issue 2017-12-08 (IMQ) 

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