| Presentation | 2020-03-06 A high-compression video coding method for video analysis using Deep Learning Tomonori Kubota, Takanori Nakao, Eiji Yoshida, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | deep learning / convolutional neural network / video analysis / object detection / image compression / XAI |
| Paper # | IMQ2019-39,IE2019-121,MVE2019-60 |
| Date of Issue | 2020-02-27 (IMQ, IE, MVE) |
| Conference Information | |
| Committee | IE / IMQ / MVE / CQ |
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| Conference Date | 2020/3/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hideaki Kimata(NTT) / Toshiya Nakaguchi(Chiba Univ.) / Kenji Mase(Nagoya Univ.) / Hideyuki Shimonishi(NEC) |
| Vice Chair | Kazuya Kodama(NII) / Keita Takahashi(Nagoya Univ.) / Mitsuru Maeda(Canon) / Kenya Uomori(Osaka Univ.) / Masayuki Ihara(NTT) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Secretary | Kazuya Kodama(NTT) / Keita Takahashi(NHK) / Mitsuru Maeda(Shizuoka Univ.) / Kenya Uomori(Sony Semiconductor Solutions) / Masayuki Ihara(Nagoya Univ.) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Assistant | Kyohei Unno(KDDI Research) / Norishige Fukushima(Nagoya Inst. of Tech.) / Hiroaki Kudo(Nagoya Univ.) / Masaru Tsuchida(NTT) / Keita Hirai(Chiba Univ.) / Satoshi Nishiguchi(Oosaka Inst. of Tech.) / Masanori Yokoyama(NTT) / Shogo Fukushima(Univ. of ToKyo) / Chikara Sasaki(KDDI Research) / Yoshiaki Nishikawa(NEC) / Takuto Kimura(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Image Engineering / Technical Committee on Image Media Quality / Technical Committee on Media Experience and Virtual Environment / 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) | 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 |
| 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.) |
| Date | 2020-03-06 |
| Paper # | IMQ2019-39,IE2019-121,MVE2019-60 |
| Volume (vol) | vol.119 |
| Number (no) | IMQ-454,IE-456,MVE-457 |
| Page | pp.pp.121-126(IMQ), pp.121-126(IE), pp.121-126(MVE), |
| #Pages | 6 |
| Date of Issue | 2020-02-27 (IMQ, IE, MVE) |