Bursty interference-oriented video quality assessment method

Abstract

The frequent bursty interference leads to wireless throughput variability in future networks, which results in video quality of experience (QoE) degradation. It is highly desirable to be able to predict video quality to meet QoE requirements. There has been a great deal of studies on video quality assessment, but only limited work has been reported for assessing video quality under bursty interference environment. In this paper, we seek to ameliorate this by developing a bursty interference-oriented video quality assessment algorithm. First, a subjective experiment has been carried out and a hysteresis model was proposed by analyzing the experiment data. Simulation result shows that in burst traffic environment, the model has a better correlation with human visual system (HVS) effect. Then we proposed an objective quality assessment algorithm by taking the video color, brightness, motion and other spatial features together with Structural Similarity Index Measurement (SSIM) into consideration, which outperforms Peak Signal Noise Rate (PSNR), Visual Information Fidelity (VIF) and SSIM in bursty environment.