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| Presentation | 2018-07-11 13:35 A Fundamental Approach for Efficient Crowdsourced Multi-view Video Uploading Than Than Nu (Osaka Univ), Takuya Fujihashi (Ehime Univ.), Takashi Watanabe (Osaka Univ.)  ASN2018-23 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The human visual system (HVS) has more sensitive spatial resolution to the currently gazing region-of-interest (ROI) of the scene, and the sensitivity becomes decreased to the peripheral regions. This introduces considerable perceptual redundancy in low-interest regions. Considering this redundancy of human visual perception, in this paper, we discuss a fundamental approach for traffic reduction on crowdsourced multi-view video uploading. For this purpose, we extend our previously proposed differential encoding-based video uploading scheme using ROI-based multiview video encoding. To realize the ROI-based differential multiview video uploading, we first construct a correlated network of contributors based on their correlation degrees. We then select a contributor with the largest average correlation in the network for extraction of ROI regions. The selected contributor uploads its video stream using ROI-based single-view video encoding while the rest of the contributors in the network overhear the transmitted stream and performs ROI-based differential multiview video encoding with the prior ROI information. Evaluation results show that our approach achieves 57% of traffic reduction under the same visual quality in ROI regions and unnoticeable visual degradation in low-interest regions. |
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| Keyword | (in Japanese) | (See Japanese page) |
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| Reference Info. | IEICE Tech. Rep., vol. 118, no. 127, ASN2018-23, pp. 43-46, July 2018. | |
| Paper # | ASN2018-23 | |
| Date of Issue | 2018-07-04 (ASN) | |
| 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 | ASN2018-23 |
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| Conference Information | |
| Committee | ASN NS RCS SR RCC |
| Conference Date | 2018-07-11 - 2018-07-13 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hakodate Arena |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Wireless Distributed Network, Machine Learning and AI for Wireless Communications and Networks, M2M (Machine-to-Machine), D2D (Device-to-Device), IoT（Internet of Things）, etc. |
| Paper Information | |
| Registration To | ASN |
| Conference Code | 2018-07-ASN-NS-RCS-SR-RCC |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Fundamental Approach for Efficient Crowdsourced Multi-view Video Uploading |
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| 1st Author's Name | Than Than Nu |
| 1st Author's Affiliation | Osaka University (Osaka Univ) |
| 2nd Author's Name | Takuya Fujihashi |
| 2nd Author's Affiliation | Ehime University (Ehime Univ.) |
| 3rd Author's Name | Takashi Watanabe |
| 3rd Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-07-11 13:35:00 |
| Presentation Time | 25 minutes |
| Registration for | ASN |
| Paper # | ASN2018-23 |
| Volume (vol) | vol.118 |
| Number (no) | no.127 |
| Page | pp.43-46 |
| #Pages | 4 |
| Date of Issue | 2018-07-04 (ASN) |
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