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| 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 |
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| 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 | |
| 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 | ITS2020-30 IE2020-44 |
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| Conference Information | |
| Committee | IE ITS ITE-MMS ITE-ME ITE-AIT |
| 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 |
| #Pages | 6 |
| Date of Issue | 2021-02-11 (ITS, IE) |
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