DocumentCode
248581
Title
Adaptive video transmission with subjective quality constraints
Author
Chao Chen ; Xiaoqing Zhu ; de Veciana, Gustavo ; Bovik, Alan C. ; Heath, Robert W.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
2477
Lastpage
2481
Abstract
We conducted a subjective study wherein we found that viewers´ Quality of Experience (QoE) was strongly correlated with the empirical cumulative distribution function (eCDF) of the predicted video quality. Based on this observation, we propose a rate-adaptation algorithm that can incorporate QoE constraints on the empirical cumulative quality distribution per user. Simulation results show that the proposed technique can reduce network resource consumption by 29% over conventional average-quality maximized rate-adaptation algorithms.
Keywords
quality of experience; statistical distributions; video signal processing; QoE constraint; adaptive video transmission; average-quality maximized rate-adaptation algorithm; eCDF; empirical cumulative distribution function; quality of experience; subjective quality constraints; video quality; Adaptation models; Measurement; Quality assessment; Streaming media; Video recording; Wireless networks; Quality of Experience; Rate adaptation; Video transport;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location
Paris
Type
conf
DOI
10.1109/ICIP.2014.7025501
Filename
7025501
Link To Document