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Network streaming video services have been growing explosively in the past decade, but how to measure and assure the video quality-of-experience (QoE) of end consumers is still an open problem. Poor presentation quality and playback stalling have been identified as the most dominant factors that degrade user QoE. Although both factors have been studied individually, little is known about the interactions...
With the rapid growth of streaming media applications, there has been a strong demand of objective models that can predict end users' quality-of-experience (QoE) when watching the video being streamed to their display devices. Existing methods typically use bitrate and global statistics of stalling events as the QoE indicators. This is problematic for two reasons. First, using the same bitrate to...
The popular Structural SIMilarity (SSIM) index has shown to be a good perceptual criterion for testing and optimizing video encoders such as the MPEG-H/H.265 High Efficiency Video Coding (HEVC). However, it is still unclear how to compare two HEVC encoders with a number of bit rates and SSIM values. In this work, we study the video quality comparison of HEVC encoders based on the Bit Rate-SSIM (R-S)...
High frame rate video has been a hot topic in the past few years driven by a strong need in the entertainment and gaming industry. Nevertheless, progress on perceptual quality assessment of high frame rate video remains limited, making it difficult to evaluate the exact perceptual gain by switching from low to high frame rates. In this work, we first conduct a subjective quality assessment experiment...
In real-world visual communications, it is a common experience that end-users receive video with significantly time-varying quality due to the variations in video content/complexity, codec configuration, and network conditions. How human visual quality-of-experience (QoE) changes with such time-varying video quality is not yet well-understood. To investigate this issue, we conduct subjective experiments...
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