Objective video presentation QoE predictor for smart adaptive video streaming

Zhou Wang; Kai Zeng; Abdul Rehman; Hojatollah Yeganeh; Shiqi Wang

doi:10.1117/12.2187740

22 September 2015 Objective video presentation QoE predictor for smart adaptive video streaming

Zhou Wang, Kai Zeng, Abdul Rehman, Hojatollah Yeganeh, Shiqi Wang

Proceedings Volume 9599, Applications of Digital Image Processing XXXVIII; 95990Y (2015) https://doi.org/10.1117/12.2187740
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

Abstract

How to deliver videos to consumers over the network for optimal quality-of-experience (QoE) has been the central goal of modern video delivery services. Surprisingly, regardless of the large volume of videos being delivered everyday through various systems attempting to improve visual QoE, the actual QoE of end consumers is not properly assessed, not to say using QoE as the key factor in making critical decisions at the video hosting, network and receiving sites. Real-world video streaming systems typically use bitrate as the main video presentation quality indicator, but using the same bitrate to encode different video content could result in drastically different visual QoE, which is further affected by the display device and viewing condition of each individual consumer who receives the video. To correct this, we have to put QoE back to the driver's seat and redesign the video delivery systems. To achieve this goal, a major challenge is to find an objective video presentation QoE predictor that is accurate, fast, easy-to-use, display device adaptive, and provides meaningful QoE predictions across resolution and content. We propose to use the newly developed SSIMplus index (https://ece.uwaterloo.ca/~z70wang/research/ssimplus/) for this role. We demonstrate that based on SSIMplus, one can develop a smart adaptive video streaming strategy that leads to much smoother visual QoE impossible to achieve using existing adaptive bitrate video streaming approaches. Furthermore, SSIMplus finds many more applications, in live and file-based quality monitoring, in benchmarking video encoders and transcoders, and in guiding network resource allocations.

Citation Download Citation

Zhou Wang, Kai Zeng, Abdul Rehman, Hojatollah Yeganeh, and Shiqi Wang "Objective video presentation QoE predictor for smart adaptive video streaming", Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 95990Y (22 September 2015); https://doi.org/10.1117/12.2187740

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available