6533b81ffe1ef96bd1276f3c

RESEARCH PRODUCT

Using Factor Analysis Techniques to Find Out Objective Video Quality Metrics for Live Video Streaming over Cloud Mobile Media Services

Miguel Garcia-pinedaJaume Segura-garciaSantiago Felici-castell

subject

Multimediabusiness.industryComputer scienceMean opinion scoreMobile broadband020206 networking & telecommunicationsCloud computing02 engineering and technologyVirtualizationcomputer.software_genreVideo quality0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingQuality of experiencePEVQbusinesscomputerSubjective video quality

description

The increased adoption of smartphones, the access to mobile broadband networks and the availability of public Clouds allow new multimedia services, called Cloud Mobile Media Services. Under this new architecture the proliferation of live video streaming applications and the Quality of Experience (QoE) given by the final user are an issue, due to the higher and variable delay, as result of the virtualization methods used in the Clouds. Thus in this paradigm new challenges appear related to keep and estimate a good QoE in terms of a standarized subjective video quality called Mean Opinion Score (MOS). In this paper we analyze different approaches based on Factor Analysis techniques to estimate the subjective MOS both using Full Reference and Non Reference approaches. We compare the performance of the estimated MOS against publicly available video quality algorithms.

https://doi.org/10.5296/npa.v8i1.8850