A Fuzzy-based Method for Reducing Mobile Video-quality Fluctuation

2017 ◽  
Vol 1 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Linh Van Ma ◽  
◽  
Sanghyun Park ◽  
Jaehyung Park ◽  
Jiseung Nam ◽  
...  
Keyword(s):  
Video Quality ◽  
Mobile Video

Evaluate mobile video quality in hybrid spatial and temporal domain

2015 ◽  
Vol 75 (22) ◽  
pp. 14507-14524 ◽  
Author(s):  
Chao Chen ◽  
Wen Ji ◽  
Seungmin Rho ◽  
Bo-Wei Chen ◽  
Yiqiang Chen
Keyword(s):  
Video Quality ◽  
Mobile Video ◽  
Temporal Domain

scholarly journals EXPLORATION AND OPTIMIZATION OF USER EXPERIENCE IN VIEWING VIDEOS ON A MOBILE PHONE

2010 ◽  
Vol 20 (08) ◽  
pp. 1045-1075 ◽  
Author(s):  
WEI SONG ◽  
DIAN TJONDRONEGORO ◽  
MICHAEL DOCHERTY
Keyword(s):  
Mobile Phone ◽  
User Experience ◽  
User Study ◽  
Video Quality ◽  
Mobile Video ◽  
Content Type ◽  
Interview Method ◽  
Acceptable Quality ◽  
Quantitative Results ◽  
Iphone Application

Compared with viewing videos on PCs or TVs, mobile users have different experiences in viewing videos on a mobile phone due to different device features such as screen size and distinct usage contexts. To understand how mobile user's viewing experience is impacted, we conducted a field user study with 42 participants in two typical usage contexts using a custom-designed iPhone application. With user's acceptance of mobile video quality as the index, the study addresses four influence aspects of user experiences, including context, content type, encoding parameters and user profiles. Accompanying the quantitative method (acceptance assessment), we used a qualitative interview method to obtain a deeper understanding of a user's assessment criteria and to support the quantitative results from a user's perspective. Based on the results from data analysis, we advocate two user-driven strategies to adaptively provide an acceptable quality and to predict a good user experience, respectively. There are two main contributions from this paper. Firstly, the field user study allows a consideration of more influencing factors into the research on user experience of mobile video. And these influences are further demonstrated by user's opinions. Secondly, the proposed strategies — user-driven acceptance threshold adaptation and user experience prediction — will be valuable in mobile video delivery for optimizing user experience.

scholarly journals Improving Mobile Video Quality Through Predictive Channel Quality Based Buffering

2018 ◽  
Author(s):  
Jan Willem Kleinrouweler ◽  
Britta Meixner ◽  
Joost Bosman ◽  
Hans van den Berg ◽  
Rob van der Mei ◽  
...  
Keyword(s):  
Video Quality ◽  
Mobile Video ◽  
Channel Quality

User-Centered Study on Quality of Mobile Video Services

2013 ◽  
pp. 18-51
Author(s):  
Wei Song ◽  
Dian Tjondronegoro ◽  
Michael Docherty
Keyword(s):  
User Study ◽  
Video Quality ◽  
Research Field ◽  
Future Research ◽  
Mobile Video ◽  
Video Research ◽  
Challenges And Opportunities ◽  
Video Services ◽  
User Centered

Mobile video, as an emerging market and a promising research field, has attracted much attention from both industry and researchers. Considering the quality of user-experience as the crux of mobile video services, this chapter aims to provide a guide to user-centered studies of mobile video quality. This will benefit future research in better understanding user needs and experiences, designing effective research, and providing solid solutions to improve the quality of mobile video. This chapter is organized in three main parts: (1) a review of recent user studies from the perspectives of research focuses, user study methods, and data analysis methods; (2) an example of conducting a user study of mobile video research, together with the discussion on a series of relative issues, such as participants, materials and devices, study procedure, and analysis results; and (3) a conclusion with an open discussion about challenges and opportunities in mobile video related research, and associated potential future improvements.

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