| Presentation | 2020-11-04 [Short Paper] An Experimental Study on Color Laparoscopic High-Definition Video Quality Assessment Including Super-resolution Norifumi Kawabata, Toshiya Nakaguchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | After considering medical image analysis support, it is one of importance factors to assess high-definition image quality for high-definition display. In case of processing recognition and detection of body region and lesion in medical images, it is not enough to judge the only information of still image or some frame images. To find out image content and characteristics more accurately, we need to consider image quality from information obtained by video. In this paper, in the case of changing bit rate and focusing on image quality for color laparoscopic high-definition video including super-resolution, we carried out the objective assessment experiment by using PSNR, SSIM among frame of image, bit rate of video. Finally, we discussed with regard to display of medical image. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Laparoscopic Video / Super-Resolution Convolutional Neural Network (SRCNN) / Bit Rate / H.265/HEVC / Video Quality Assessment |
| Paper # | MICT2020-19,MI2020-45 |
| Date of Issue | 2020-10-28 (MICT, MI) |
| Conference Information | |
| Committee | MICT / MI |
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| Conference Date | 2020/11/4(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Virtual (TBD) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical imaging technology, healthcare and medical information communication technology |
| Chair | Eisuke Hanada(Saga Univ.) / Yoshiki Kawata(Tokushima Univ.) |
| Vice Chair | Hirokazu Tanaka(Hiroshima City Univ.) / Daisuke Anzai(Nagoya Inst. of Tech.) / Takayuki Kitasaka(Aichi Inst. of Tech.) / Hidekata Hontani(Nagoya Inst. of Tech.) |
| Secretary | Hirokazu Tanaka(Kobe Univ.) / Daisuke Anzai(Yokohama National Univ.) / Takayuki Kitasaka(Yamaguchi Univ.) / Hidekata Hontani(Univ. of Hyogo) |
| Assistant | Keita Saku(Kyushu Univ.) / Kai Ishida(KISTEC) / Kento Takabayashi(Okayama Pref. Univ.) / Hotaka Takizawa(Tsukuba Univ.) / Yoshito Otake(NAIST) |
| Paper Information | |
| Registration To | Technical Committee on Healthcare and Medical Information Communication Technology / Technical Committee on Medical Imaging |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Short Paper] An Experimental Study on Color Laparoscopic High-Definition Video Quality Assessment Including Super-resolution |
| Sub Title (in English) | |
| Keyword(1) | Laparoscopic Video |
| Keyword(2) | Super-Resolution Convolutional Neural Network (SRCNN) |
| Keyword(3) | Bit Rate |
| Keyword(4) | H.265/HEVC |
| Keyword(5) | Video Quality Assessment |
| 1st Author's Name | Norifumi Kawabata |
| 1st Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
| 2nd Author's Name | Toshiya Nakaguchi |
| 2nd Author's Affiliation | Chiba University(Chiba Univ.) |
| Date | 2020-11-04 |
| Paper # | MICT2020-19,MI2020-45 |
| Volume (vol) | vol.120 |
| Number (no) | MICT-219,MI-220 |
| Page | pp.pp.60-61(MICT), pp.60-61(MI), |
| #Pages | 2 |
| Date of Issue | 2020-10-28 (MICT, MI) |