Cognitive no-reference video quality assessment for mobile streaming services

Maria Torres Vega, Emanuele Giordano, Decebal Constantin Mocanu, Dian Tjondronegoro, Antonio Liotta

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

11 Citations (Scopus)

Abstract

The evaluation of mobile streaming services, particularly in terms of delivered Quality of Experience (QoE), entails the use of automated methods (which excludes subjective QoE) that can be executed in real-time (i.e. without delaying the streaming process). This calls for lightweight algorithms that provide accurate results under considerable constraints. Starting from a low complexity no-reference objective algorithm for still images, in this work we contribute a new version that not only works for videos but, is general enough to adjust to a diverse range of video types while not significantly increasing the computational complexity. To achieve the necessary level of flexibility and computational efficiency, our method relies merely on information available at the client side and is equipped with a lightweight Artificial Neural Network which makes the algorithm independent from type of network or video. Its resource efficiency and generality make our method fit to be used in mobile streaming services. To prove the viability of our approach, we show a high level of correlation with the well-known full-reference method SSIM.

Original languageEnglish
Title of host publication2015 Seventh International Workshop on Quality of Multimedia Experience, QoMEX 2015
Place of PublicationPiscataway, NJ
PublisherIEEE
ISBN (Electronic)978-1-4799-8958-4
DOIs
Publication statusPublished - 2 Jul 2015
Externally publishedYes
Event2015 7th International Workshop on Quality of Multimedia Experience, QoMEX 2015 - Costa Navarino, Messinia, Greece
Duration: 26 May 201529 May 2015

Conference

Conference2015 7th International Workshop on Quality of Multimedia Experience, QoMEX 2015
CountryGreece
CityCosta Navarino, Messinia
Period26/05/1529/05/15

Keywords

  • Mobile streaming services
  • Network quality assessment
  • Neural networks
  • No-reference quality of experience

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