| Presentation | 2020-12-18 Investigation of Relationship between cerebral blood flow and human preference during image viewing using deep learning Yohei Ochiai, Shuhei Kishida, Koki Buyo, Yuya Okazaki, Yuuko Horita, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, the evaluation of Quality of Experience (QoE), which shows user experience quality, has attracted attention due to the large screen of the display, the high resolution of the image, and the diversification of the content. In QoE evaluation, it is difficult to consider the individual characteristics of users by conventional methods such as questionnaires. Therefore, we measured cerebral blood flow dynamics using NIRS as an evaluation method of QoE and conducted subjective evaluation experiments. The investigation of the relationship between cerebral blood flow dynamics and human preference during image observation has been conducted by using deep learning method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | QoE / Oxy-Hb / wavelet transform / neural network |
| Paper # | IMQ2020-9 |
| Date of Issue | 2020-12-11 (IMQ) |
| Conference Information | |
| Committee | IMQ |
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| Conference Date | 2020/12/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Toshiya Nakaguchi(Chiba Univ.) |
| Vice Chair | Mitsuru Maeda(Canon) / Kenya Uomori(Osaka Univ.) |
| Secretary | Mitsuru Maeda(Shizuoka Univ.) / Kenya Uomori(Sony Semiconductor Solutions) |
| Assistant | Hiroaki Kudo(Nagoya Univ.) / Masaru Tsuchida(NTT) / Keita Hirai(Chiba Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Image Media Quality |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Investigation of Relationship between cerebral blood flow and human preference during image viewing using deep learning |
| Sub Title (in English) | |
| Keyword(1) | QoE |
| Keyword(2) | Oxy-Hb |
| Keyword(3) | wavelet transform |
| Keyword(4) | neural network |
| 1st Author's Name | Yohei Ochiai |
| 1st Author's Affiliation | University of Toyama(Univ. of Toyama) |
| 2nd Author's Name | Shuhei Kishida |
| 2nd Author's Affiliation | University of Toyama(Univ. of Toyama) |
| 3rd Author's Name | Koki Buyo |
| 3rd Author's Affiliation | University of Toyama(Univ. of Toyama) |
| 4th Author's Name | Yuya Okazaki |
| 4th Author's Affiliation | University of Toyama(Univ. of Toyama) |
| 5th Author's Name | Yuuko Horita |
| 5th Author's Affiliation | University of Toyama(Univ. of Toyama) |
| Date | 2020-12-18 |
| Paper # | IMQ2020-9 |
| Volume (vol) | vol.120 |
| Number (no) | IMQ-303 |
| Page | pp.pp.9-12(IMQ), |
| #Pages | 4 |
| Date of Issue | 2020-12-11 (IMQ) |