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| Presentation | 2018-10-19 14:40 Classification Method for Texture Types Based on Texture Analysis Results of HEVC Image Quality in the Shitsukan Research Database Norifumi Kawabata (Nagoya Univ.)  IMQ2018-13 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | As definition of Shitsukan or Texture, there are many kind of meaning and interpretation. Therefore, there were many studies for Texture to evaluate quantitatively. In the information, image, and Kansei engineering fields, there were ergonomics studies by experiments as the center of subjective evaluation, by using words for Texture up to now. Certainly, if we can carry out subjective assessment method, the statistical estimation is enabled. However, it is difficult for big data analysis to adapt them each time. Therefore, the objective assessment system for texture is needed. Particularly, in the transportation and information systems field, it is required for the surface's texture of objects and road to construct the system which is enable to measure and evaluate in real time. In this paper, we used the Shitsukan Research Database from Web for free of charge. First, we generated the texture evaluation images by H.265/HEVC. And then, we assessed the generated images by texture analysis, and discussed results. Next, based on experimental results, we considered for classification method of texture types by Support Vector Machine (SVM). Finally, we discussed including assumption of system's automation. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Texture / H.265/HEVC / Texture Features / Gray-Level Co-Occurrence Matrix (GLCM) / Support Vector Machine (SVM) / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 256, IMQ2018-13, pp. 13-18, Oct. 2018. | |
| Paper # | IMQ2018-13 | |
| Date of Issue | 2018-10-12 (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 | IMQ2018-13 |
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| Conference Information | |
| Committee | IMQ |
| Conference Date | 2018-10-19 - 2018-10-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Visual Perception and IMQ |
| Paper Information | |
| Registration To | IMQ |
| Conference Code | 2018-10-IMQ |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Classification Method for Texture Types Based on Texture Analysis Results of HEVC Image Quality in the Shitsukan Research Database |
| Sub Title (in English) | |
| Keyword(1) | Texture |
| Keyword(2) | H.265/HEVC |
| Keyword(3) | Texture Features |
| Keyword(4) | Gray-Level Co-Occurrence Matrix (GLCM) |
| Keyword(5) | Support Vector Machine (SVM) |
| Keyword(6) | |
| Keyword(7) | |
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| 1st Author's Name | Norifumi Kawabata |
| 1st Author's Affiliation | Nagoya University (Nagoya Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-10-19 14:40:00 |
| Presentation Time | 25 minutes |
| Registration for | IMQ |
| Paper # | IMQ2018-13 |
| Volume (vol) | vol.118 |
| Number (no) | no.256 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2018-10-12 (IMQ) |
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