| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| 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 | |
| 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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | IMQ2017-21 |
|
| 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) |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Norifumi Kawabata |
| 1st Author's Affiliation | Chiba University (Chiba Univ.) |
| 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 |
| #Pages | 6 |
| Date of Issue | 2017-12-08 (IMQ) |
[Return to Top Page]