A Histogram-Based Quality Model for HTTP Adaptive Streaming

Huyen T. T. TRAN  Nam PHAM NGOC  Yong Ju JUNG  Anh T. PHAM  Truong Cong THANG  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E100-A   No.2   pp.555-564
Publication Date: 2017/02/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E100.A.555
Type of Manuscript: Special Section PAPER (Special Section on Image Media Quality)
video quality model,  adaptive streaming,  subjective test,  histogram,  

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HTTP Adaptive Streaming (HAS) has become a popular solution for multimedia delivery nowadays. Because of throughput variations, video quality fluctuates during a streaming session. Therefore, a main challenge in HAS is how to evaluate the overall video quality of a session. In this paper, we explore the impacts of quality values and quality variations in HAS. We propose to use the histogram of segment quality values and the histogram of quality gradients in a session to model the overall video quality. Subjective test results show that the proposed model has very high prediction performance for different videos. Especially, the proposed model provides insights into the influence factors of the overall quality, thus leading to suggestions to improve the quality of streaming video.