| Paper Abstract and Keywords |
| Presentation |
2020-03-06 14:50
A high-compression video coding method for video analysis using Deep Learning Tomonori Kubota, Takanori Nakao, Eiji Yoshida (Fujitsu Lab.) IMQ2019-39 IE2019-121 MVE2019-60 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this paper, we propose a high-compression video coding method for video analysis using Deep Learning. The method analyzes effects for an accuracy of an inference caused by degradation of image by video coding, and image parts which are important for the accuracy are encoded with compression rate which does not affect the accuracy and image parts which are unnecessary for the accuracy are encoded with a high compression rate. As a result, high compression is realized in comparison with the method encodes for the purpose of human viewing or visual confirmation. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
deep learning / convolutional neural network / video analysis / object detection / image compression / XAI / / |
| Reference Info. |
IEICE Tech. Rep., vol. 119, no. 456, IE2019-121, pp. 121-126, March 2020. |
| Paper # |
IE2019-121 |
| Date of Issue |
2020-02-27 (IMQ, IE, MVE) |
| 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 |
IMQ2019-39 IE2019-121 MVE2019-60 |
| Conference Information |
| Committee |
IE IMQ MVE CQ |
| Conference Date |
2020-03-05 - 2020-03-06 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kyushu Institute of Technology |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
IE |
| Conference Code |
2020-03-IE-IMQ-MVE-CQ |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A high-compression video coding method for video analysis using Deep Learning |
| Sub Title (in English) |
|
| Keyword(1) |
deep learning |
| Keyword(2) |
convolutional neural network |
| Keyword(3) |
video analysis |
| Keyword(4) |
object detection |
| Keyword(5) |
image compression |
| Keyword(6) |
XAI |
| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Tomonori Kubota |
| 1st Author's Affiliation |
Fujitsu Laboratories LTD. (Fujitsu Lab.) |
| 2nd Author's Name |
Takanori Nakao |
| 2nd Author's Affiliation |
Fujitsu Laboratories LTD. (Fujitsu Lab.) |
| 3rd Author's Name |
Eiji Yoshida |
| 3rd Author's Affiliation |
Fujitsu Laboratories LTD. (Fujitsu Lab.) |
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| Speaker |
Author-1 |
| Date Time |
2020-03-06 14:50:00 |
| Presentation Time |
25 minutes |
| Registration for |
IE |
| Paper # |
IMQ2019-39, IE2019-121, MVE2019-60 |
| Volume (vol) |
vol.119 |
| Number (no) |
no.454(IMQ), no.456(IE), no.457(MVE) |
| Page |
pp.121-126 |
| #Pages |
6 |
| Date of Issue |
2020-02-27 (IMQ, IE, MVE) |