Presentation 2021-03-05
QoE assessment in DASH rate control considering user preference
Takumi Yanagisawa, Sumiko Miyata,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In Dynamic Adaptive Streaming over HTTP (DASH), which is the most widespread video delivery service system using the Internet, users select a bit rate in order to appropriately share the bandwidth of the server among multiple users. While most of the existing rate selection methods have been based on Quality of Service (QoS) improvement, recently, methods based on Quality of Experience (QoE), which expresses user satisfaction with the quality of video content, have been attracting attention from service providers and network providers. In addition, some studies show that user preferences affect QoE. In this paper, we propose a rate selection method based on game theory considering user preference for video streaming. Moreover, we show the effectiveness of our proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) DASH / rate selection method / QoE / user preference / game theory
Paper # IN2020-91
Date of Issue 2021-02-25 (IN)

Conference Information
Committee IN / NS
Conference Date 2021/3/4(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) General
Chair Kenji Ishida(Hiroshima City Univ.) / Akihiro Nakao(Univ. of Tokyo)
Vice Chair Kunio Hato(Internet Multifeed) / Tetsuya Oishi(NTT)
Secretary Kunio Hato(Hiroshima City Univ.) / Tetsuya Oishi(KDDI Research)
Assistant / Shinya Kawano(NTT)

Paper Information
Registration To Technical Committee on Information Networks / Technical Committee on Network Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) QoE assessment in DASH rate control considering user preference
Sub Title (in English)
Keyword(1) DASH
Keyword(2) rate selection method
Keyword(3) QoE
Keyword(4) user preference
Keyword(5) game theory
1st Author's Name Takumi Yanagisawa
1st Author's Affiliation Shibaura Institute of Technology(SIT)
2nd Author's Name Sumiko Miyata
2nd Author's Affiliation Shibaura Institute of Technology(SIT)
Date 2021-03-05
Paper # IN2020-91
Volume (vol) vol.120
Number (no) IN-414
Page pp.pp.220-225(IN),
#Pages 6
Date of Issue 2021-02-25 (IN)