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Spatio-temporal rate control techniques for very high-frame-rate videos and its application to video coding

Research Project

Project/Area Number 18K11370
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 61010:Perceptual information processing-related
Research InstitutionUniversity of Fukui

Principal Investigator

YOSHIDA Toshiyuki  福井大学, 学術研究院工学系部門, 教授 (50240297)

Project Period (FY) 2018-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2020: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2019: ¥260,000 (Direct Cost: ¥200,000、Indirect Cost: ¥60,000)
Fiscal Year 2018: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Keywords動画像符号化 / 高フレームレート / 時空間画質 / 画質制御 / レート制御 / 主観評価値 / MOS / フレームレート
Outline of Final Research Achievements

Very high frame-rate videos, running upto 240 frame/s, require a maximization of video quality for a transmission / storage within a prescribed band width. This study extends and applies the spatio-temporal rate control technique for videos based on a maximization of their predicted subjective quality metric, developed previously by the author, and validates the effectiveness of the approach. The results of this study have suggested that 240 frame/s is not always necessary in preserving the total video qulity, which can drastically improved by applying the spatio-temporal adaptive rate control technique. They also have indicated that the proposed technique can precisely and effciently realize the video quality maximization.

Academic Significance and Societal Importance of the Research Achievements

動画像の高画質化は,これまで主に画素数の拡大方向に進んでおり,4Kや8K画像が身近となりつつある一方で,今後は時間方向の高フレームレート化も進むと予想される.高精細かつ240フレーム/秒に達する超高フレームレート動画像をネットワーク伝送あるいは保存する際は,高画質性を保った上で巨大なデータ量を削減する効率的なデータ圧縮・制御手法が不可欠である.本研究では,ビデオシーン単位の最適なフレームレート予測に基づく効率的な画質制御手法を検討・提案し,高画質動画像に対するデータ制御法への貢献を目的とする.

Report

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

    (6 results)

All 2021 2020 2019 2018

All Journal Article (3 results) (of which Peer Reviewed: 3 results) Presentation (3 results)

  • [Journal Article] EMOS-based spatio-temporal rate control technique for 2K240P videos2021

    • Author(s)
      Ryo Inuzuka, Toshiyuki Yoshida
    • Journal Title

      Proc. of International Workshop on Advanced Image Technology (IWAIT 2021)

      Volume: SPIE 11766 Pages: 135-135

    • DOI

      10.1117/12.2591116

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Estimation of Temporal Subjective Quality for 240P Videos2020

    • Author(s)
      犬塚亮,吉田俊之
    • Journal Title

      電子情報通信学会論文誌D 情報・システム

      Volume: J103-D Issue: 10 Pages: 747-750

    • DOI

      10.14923/transinfj.2020IEL0001

    • ISSN
      1880-4535, 1881-0225
    • Year and Date
      2020-10-01
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] 4K60P動画像に対する時間方向の主観画質推定2019

    • Author(s)
      山口翔也,吉田 俊之
    • Journal Title

      電子情報通信学会和文論文誌D

      Volume: J102-D Pages: 662-665

    • Related Report
      2019 Research-status Report
    • Peer Reviewed
  • [Presentation] 2K240P動画像に対する時間方向のMOS予測手法2019

    • Author(s)
      犬塚亮,吉田俊之
    • Organizer
      2019年度電気関係学会北陸支部連合大会
    • Related Report
      2019 Research-status Report
  • [Presentation] 240P動画像に対する時間方向のMOS予測手法2019

    • Author(s)
      犬塚亮,吉田俊之
    • Organizer
      2019年度画像符号化シンポジウム/映像メディア処理シンポジウム
    • Related Report
      2019 Research-status Report
  • [Presentation] 4K60P動画像を対象とした時間方向のMOS予測手法の精度向上について2018

    • Author(s)
      山口翔也,吉田俊之
    • Organizer
      画像符号化シンポジウム・映像メディア処理シンポジウム
    • Related Report
      2018 Research-status Report

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

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