Paper Info
Title
Adaptive video transmission with subjective quality constraints
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.
Year
DOI
Venue
2014
10.1109/ICIP.2014.7025501
ICIP
Keywords
Field
DocType
statistical distributions,video signal processing,video transport,video quality,subjective quality constraints,average-quality maximized rate-adaptation algorithm,empirical cumulative distribution function,adaptive video transmission,rate adaptation,quality of experience,qoe constraint,ecdf
Resource consumption,Computer vision,Empirical distribution function,Computer science,Subjective video quality,Real-time computing,Video transmission,Quality of experience,Artificial intelligence,Multimedia,Video quality
Conference
ISSN
Citations 
PageRank 
1522-4880
0
0.34
References 
Authors
13
5
Name
Order
Citations
PageRank
Chao Chen12032185.26
Xiaoqing Zhu2996.25
Gustavo de Veciana32274202.25
Alan C. Bovik45062349.55
Robert W. Heath514415885.64