Methods for adaptive video streaming and picture quality assessment to improve QoS/QoE performances

Kenji Kanai, Bo Wei, Zhengxue Cheng, Masaru Takeuchi, Jiro Katto

研究成果: Article査読

2 被引用数 (Scopus)

抄録

This paper introduces recent trends in video streaming and four methods proposed by the authors for video streaming. Video traffic dominates the Internet as seen in current trends, and new visual contents such as UHD and 360-degree movies are being delivered. MPEG-DASH has become popular for adaptive video streaming, and machine learning techniques are being introduced in several parts of video streaming. Along with these research trends, the authors also tried four methods: route navigation, throughput prediction, image quality assessment, and perceptual video streaming. These methods contribute to improving QoS/QoE performance and reducing power consumption and storage size.

本文言語English
ページ(範囲)1240-1247
ページ数8
ジャーナルIEICE Transactions on Communications
E102B
7
DOI
出版ステータスPublished - 2019

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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