Instantaneous video quality assessment for lightweight devices

Antonio Liotta, Decebal Constantin Mocanu, Vlado Menkovski, Luciana Cagnetta, Georgios Exarchakos

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

19 Citations (Scopus)


Monitoring and controlling the user's Quality of Experience (QoE) in modern video services is a challenging proposition, mainly due to the limitations of current video quality assessment algorithms. While subjective QoE methods would better reflect the nature of human perception, these are not suitable in real-time automation cases. On the other hand, the existing objective algorithms are either too complex or too inaccurate, particularly in the context of lightweight devices such as camera sensors or smart phones. This paper introduces a novel objective QoE algorithm, Instantaneous Video Quality Assessment (IVQA), that is comparably as accurate as the most heavyweight algorithm available in the literature but can also be run in real-time. This approach is tested against a selection of ten objective metrics and benchmarked with a subjective user dataset.

Original languageEnglish
Title of host publicationMoMM '13
Subtitle of host publicationProceedings of International Conference on Advances in Mobile Computing & Multimedia
EditorsRené Mayrhofer, Luke Chen, Matthias Steinbauer, Gabriele Kotsis, Ismail Khalil
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
Number of pages7
ISBN (Print)978-1-4503-2106-8
Publication statusPublished - 2013
Externally publishedYes
Event11th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2013 - Vienna, Austria
Duration: 2 Dec 20134 Dec 2013
Conference number: 11


Conference11th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2013
Abbreviated titleMoMM


  • Objective metrics
  • Quality of experience
  • Subjective metrics
  • Video quality assessment


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