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Paper Abstract and Keywords
Presentation 2019-03-05 15:20
A rate control method for QoE improvement in video streaming services based on a human cognitive model
Masayoshi Iwamoto, Tatsuya Otoshi, Daichi Kominami, Masayuki Murata (Osaka Univ.) IN2018-143
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, over-the-top video service providers focus on the quality of experience (QoE) as an important factor whenthey provide video content. Considering that the user preference for video quality differs user by user, it is indispensable tocontrol a video bitrate according to the preference of each user in order to improve the QoE of each user. Then it is indispensableto recognize the information of the user's device and the network quality in order to control a bitrate appropriately accordingto the user. Therefore, in this research, in order to maximize the QoE of individual users even in the environment where thenetwork quality "uctuates, we propose a method to properly recognize observation information and select a bitrate suitable foruser preference. Here, we assume that a user preference information for video quality is given and consider two preferencetypes of users: "prefer high image quality" and "prefer stable image quality." Simulation evaluation shows that the averagebitrate is improved by up to 16% compared with the existing method for "prefer high image quality," and the bitrate variationis reduced by 52% - 121% for "prefer stable image quality." Through the simulation we showed that our method can anappropriate bitrate control according to the user preference.
Keyword (in Japanese) (See Japanese page) 
(in English) video streaming / adaptive streaming / human brain / decision making / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 466, IN2018-143, pp. 355-360, March 2019.
Paper # IN2018-143 
Date of Issue 2019-02-25 (IN) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Download PDF IN2018-143

Conference Information
Committee IN NS  
Conference Date 2019-03-04 - 2019-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2019-03-IN-NS 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A rate control method for QoE improvement in video streaming services based on a human cognitive model 
Sub Title (in English)  
Keyword(1) video streaming  
Keyword(2) adaptive streaming  
Keyword(3) human brain  
Keyword(4) decision making  
1st Author's Name Masayoshi Iwamoto  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Tatsuya Otoshi  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Daichi Kominami  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Masayuki Murata  
4th Author's Affiliation Osaka University (Osaka Univ.)
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Date Time 2019-03-05 15:20:00 
Presentation Time 20 
Registration for IN 
Paper # IEICE-IN2018-143 
Volume (vol) IEICE-118 
Number (no) no.466 
Page pp.355-360 
#Pages IEICE-6 
Date of Issue IEICE-IN-2019-02-25 

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