| Presentation | 2021-05-13 Image Size Reduction by Edge Computing for Low Latency Relay Transmission Weiran Yuan, Kazuki Maruta, Yu Nakayama, Daisuke Hisano, Kei Sakaguchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Real-time remote monitoring and object recognition using camera images are expected to be one of the important applications that utilize ultra-reliable and low latency communications. As one of the realization scenarios, this paper will examine the system configuration for the purpose of supporting automatic driving and safe driving. The video acquired by the camera installed on the Roadside Unit (RSU) is transferred to the edge server, and the traffic situation is grasped by image processing. Since large-capacity transmission is required, it is appropriate to use the millimeter-wave band, but from the viewpoint of coverage, a configuration using relay transmission is desirable. At this time, the network delay increases because the video traffic from multiple RSU nodes is accommodated by multi-stage relay. Therefore, for the purpose of reducing the delay of video transmission, this paper propose a method of reducing the image size by RSU edge processing based on the environment where the camera is fixedly installed. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Image processing / Size reduction / Edge computing / Deep learning / V2X |
| Paper # | CQ2021-5 |
| Date of Issue | 2021-05-06 (CQ) |
| Conference Information | |
| Committee | CS / CQ |
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| Conference Date | 2021/5/13(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | On-line |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Optical/Wireless Access and Their Integration, Communication Behavior, QoE and Psychology, Assessment / Measurement / Control / Optimization of Communication Quality, Network Services, Wireless Networks, MIMO/Diversity/Multiplexing Techniques, etc. |
| Chair | Jun Terada(NTT) / Hideyuki Shimonishi(NEC) |
| Vice Chair | Daisuke Umehara(Kyoto Inst. of Tech.) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Secretary | Daisuke Umehara(Mitsubishi Electric) / Jun Okamoto(NICT) / Takefumi Hiraguri(Doshisha Univ.) |
| Assistant | Hiroyuki Saito(OKI) / Takahiro Yamaura(Toshiba) / Yoshiaki Nishikawa(NEC) / Takuto Kimura(NTT) / Ryoichi Kataoka(KDDI Research) |
| Paper Information | |
| Registration To | Technical Committee on Communication Systems / Technical Committee on Communication Quality |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Image Size Reduction by Edge Computing for Low Latency Relay Transmission |
| Sub Title (in English) | |
| Keyword(1) | Image processing |
| Keyword(2) | Size reduction |
| Keyword(3) | Edge computing |
| Keyword(4) | Deep learning |
| Keyword(5) | V2X |
| 1st Author's Name | Weiran Yuan |
| 1st Author's Affiliation | Tokyo Institute of Technology(Tokyo Tech) |
| 2nd Author's Name | Kazuki Maruta |
| 2nd Author's Affiliation | Tokyo Institute of Technology(Tokyo Tech) |
| 3rd Author's Name | Yu Nakayama |
| 3rd Author's Affiliation | Tokyo University of Agriculture and Technology(TUAT) |
| 4th Author's Name | Daisuke Hisano |
| 4th Author's Affiliation | Osaka University(Osaka Univ) |
| 5th Author's Name | Kei Sakaguchi |
| 5th Author's Affiliation | Tokyo Institute of Technology(Tokyo Tech) |
| Date | 2021-05-13 |
| Paper # | CQ2021-5 |
| Volume (vol) | vol.121 |
| Number (no) | CQ-15 |
| Page | pp.pp.24-28(CQ), |
| #Pages | 5 |
| Date of Issue | 2021-05-06 (CQ) |