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QoE Control on Video Streaming based on the Brain and Cognitive Mechanisms

Research Project

Project/Area Number 18H04096
Research Category

Grant-in-Aid for Scientific Research (A)

Allocation TypeSingle-year Grants
Section一般
Review Section Medium-sized Section 60:Information science, computer engineering, and related fields
Research InstitutionOsaka University

Principal Investigator

Murata Masayuki  大阪大学, 情報科学研究科, 教授 (80200301)

Co-Investigator(Kenkyū-buntansha) 荒川 伸一  大阪大学, 情報科学研究科, 准教授 (20324741)
大歳 達也  大阪大学, 経済学研究科, 助教 (60804458)
大下 裕一  大阪大学, 情報科学研究科, 准教授 (80432425)
小南 大智  大阪大学, 情報科学研究科, 助教 (00709678)
Project Period (FY) 2018-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥44,460,000 (Direct Cost: ¥34,200,000、Indirect Cost: ¥10,260,000)
Fiscal Year 2020: ¥13,650,000 (Direct Cost: ¥10,500,000、Indirect Cost: ¥3,150,000)
Fiscal Year 2019: ¥12,480,000 (Direct Cost: ¥9,600,000、Indirect Cost: ¥2,880,000)
Fiscal Year 2018: ¥18,330,000 (Direct Cost: ¥14,100,000、Indirect Cost: ¥4,230,000)
Keywords仮想ネットワーク / ネットワーク制御 / Quality of Experience / 環境認知 / ベイズ推定 / 集団意思決定 / 認知バイアス / 情報ネットワーク / 環境認知機能
Outline of Final Research Achievements

As a user's QoE estimation technology, we develop a method to acquire and quantify QoE in real time using a device that measures the activity of human brain. It is known that the human has cognitive biases, which lead to a gap between the QoS and QoE. Therefore, we modeled the cognitive biases and develop the method to recommend an appropriate bit rate in streaming services by considering the cognitive biases. We also develop the method of the cooperation of agents that deployed a human cognitive decision-making model, and confirmed that our method improves the speed and accuracy of decision making to select a streaming service.

Academic Significance and Societal Importance of the Research Achievements

近年、ネットワークアプリケーションの通信品質であるQoSだけではなく、ユーザの体感品質であるQoEがより重要であるという認識がなされるようになっている。
本研究課題では、脳の活動情報とQoEの相関モデルを構築し、その相関モデルとリアルタイムに取得する脳活動情報をもとにしたQoE推定とビットレート選択手法を確立した。ユーザの内的要因が反映される脳活動情報を計測することの有用性を確認できており、今後の脳活動計測機器開発への展開、ならびに、ストリーミングサービス以外のアプリケーションサービスを収容するネットワーク制御手法への波及が期待される。

Report

(4 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Annual Research Report
  • 2018 Annual Research Report
  • Research Products

    (9 results)

All 2021 2020 2019

All Journal Article (6 results) (of which Peer Reviewed: 3 results) Presentation (1 results) Book (2 results)

  • [Journal Article] 脳の情報処理基盤にもとづく交通状況認知とネットワーク制御の連携方法に 関する一検討2021

    • Author(s)
      大下裕一, 村田正幸
    • Journal Title

      電子情報通信学会技術研究報告(IN2020-71)

      Volume: 120 Pages: 102-107

    • Related Report
      2020 Annual Research Report
  • [Journal Article] GA-based feature selection for QoE estimation using EEG during video viewing2020

    • Author(s)
      Kasumi Kitao, Daichi Kominami, and Masayuki Murata
    • Journal Title

      IEICE Proceeding Series

      Volume: 63 Pages: E3-3

    • DOI

      10.34385/proc.63.E3-3

    • NAID

      230000012378

    • ISSN
      2188-5079
    • Year and Date
      2020-12-02
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] 動画視聴ユーザを対象とした画質変化の前後における認知バイアスのモデル化2020

    • Author(s)
      西澤夏実, 大歳達也, 村田正幸
    • Journal Title

      電子情報通信学会技術研究報告(CQ2020-24)

      Volume: 120 Pages: 13-18

    • Related Report
      2020 Annual Research Report
  • [Journal Article] Bayesian-based channel quality estimation method for LoRaWAN with unpredictable interference2020

    • Author(s)
      Kominami Daichi、Hasegawa Yohei、Nogami Kosuke、Shimonishi Hideyuki、Murata Masayuki
    • Journal Title

      Proceedings of IEEE Global Communications Conference (GLOBECOM)

      Volume: 1 Pages: 1-7

    • DOI

      10.1109/globecom42002.2020.9322136

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Implementation of Quantum Decision-Making Based Recommendation Method for Adaptive Bitrate Streaming2019

    • Author(s)
      Tatsuya Otoshi and Masayuki Murata
    • Journal Title

      Proceedings of 3rd IEEE International Workshop on Quality of Experience Management

      Volume: - Pages: 1-6

    • DOI

      10.1109/icin.2019.8685920

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] 量子意思決定に基づく動画ストリーミング時のビットレート選択補助手法2019

    • Author(s)
      大歳達也, 村田正幸
    • Journal Title

      電子情報通信学会技術研究報告(CQ2018-88)

      Volume: 118 Pages: 71-76

    • Related Report
      2018 Annual Research Report
  • [Presentation] 人の認知機能モデルを用いたMPEG DASH におけるビットレート制御手法2019

    • Author(s)
      小南大智, 岩本真尚, 大歳達也, 村田正幸
    • Organizer
      情報科学技術フォーラム一般講演論文集
    • Related Report
      2019 Annual Research Report
  • [Book] Chapter 8 of Fluctuation-Induced Network Control and Learning: Applying the Yuragi Principle of Brain and Biological Systems2021

    • Author(s)
      Daichi Kominami
    • Total Pages
      18
    • Publisher
      Springer
    • ISBN
      9789813349759
    • Related Report
      2020 Annual Research Report
  • [Book] Chapter 5 of Fluctuation-Induced Network Control and Learning: Applying the Yuragi Principle of Brain and Biological Systems2021

    • Author(s)
      Shin'ichi Arakawa and Tatsuya Otoshi
    • Total Pages
      20
    • Publisher
      Springer
    • ISBN
      9789813349759
    • Related Report
      2020 Annual Research Report

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Published: 2018-04-23   Modified: 2022-01-27  

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