Perceptual Quality Driven Adaptive Video Coding Using JND Estimation

Masaru Takeuchi*, Shintaro Saika, Yusuke Sakamoto, Tatsuya Nagashima, Zhengxue Cheng, Kenji Kanai, Jiro Katto, Kaijin Wei, Ju Zengwei, Xu Wei

*この研究の対応する著者

研究成果: Conference contribution

11 被引用数 (Scopus)

抄録

We introduce a perceptual video quality driven video encoding solution for optimized adaptive streaming. By using multiple bitrate/resolution encoding like MPEG-DASH, video streaming services can deliver the best video stream to a client, under the conditions of the client's available bandwidth and viewing device capability. However, conventional fixed encoding recipes (i.e., resolution-bitrate pairs) suffer from many problems, such as improper resolution selection and stream redundancy. To avoid these problems, we propose a novel video coding method, which generates multiple representations with constant JustNoticeable Difference (JND) interval. For this purpose, we developed a JND scale estimator using Support Vector Regression (SVR), and designed a pre-encoder which outputs an encoding recipe with constant JND interval in an adaptive manner to input video.

本文言語English
ホスト出版物のタイトル2018 Picture Coding Symposium, PCS 2018 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ179-183
ページ数5
ISBN(印刷版)9781538641606
DOI
出版ステータスPublished - 2018 9月 5
イベント33rd Picture Coding Symposium, PCS 2018 - San Francisco, United States
継続期間: 2018 6月 242018 6月 27

Other

Other33rd Picture Coding Symposium, PCS 2018
国/地域United States
CitySan Francisco
Period18/6/2418/6/27

ASJC Scopus subject areas

  • 信号処理
  • メディア記述

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