Instantaneous video quality assessment for lightweight devices

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

doi:10.1145/2536853.2536903

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 proceeding › Conference contribution › Academic › peer-review

12 Citations (Scopus)

Abstract

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 language	English
Title of host publication	MoMM '13
Subtitle of host publication	Proceedings of International Conference on Advances in Mobile Computing & Multimedia
Editors	René Mayrhofer, Luke Chen, Matthias Steinbauer, Gabriele Kotsis, Ismail Khalil
Place of Publication	New York, NY
Publisher	Association for Computing Machinery (ACM)
Pages	525-531
Number of pages	7
ISBN (Print)	978-1-4503-2106-8
DOIs	https://doi.org/10.1145/2536853.2536903
Publication status	Published - 2013
Externally published	Yes
Event	11th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2013 - Vienna, Austria Duration: 2 Dec 2013 → 4 Dec 2013 Conference number: 11

Conference

Conference	11th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2013
Abbreviated title	MoMM
Country	Austria
City	Vienna
Period	2/12/13 → 4/12/13

Keywords

Objective metrics
Quality of experience
Subjective metrics
Video quality assessment

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10.1145/2536853.2536903

Cite this

Liotta, A., Mocanu, D. C., Menkovski, V., Cagnetta, L., & Exarchakos, G. (2013). Instantaneous video quality assessment for lightweight devices. In R. Mayrhofer, L. Chen, M. Steinbauer, G. Kotsis, & I. Khalil (Eds.), MoMM '13: Proceedings of International Conference on Advances in Mobile Computing & Multimedia (pp. 525-531). Association for Computing Machinery (ACM). https://doi.org/10.1145/2536853.2536903

Liotta, Antonio ; Mocanu, Decebal Constantin ; Menkovski, Vlado ; Cagnetta, Luciana ; Exarchakos, Georgios. / Instantaneous video quality assessment for lightweight devices. MoMM '13: Proceedings of International Conference on Advances in Mobile Computing & Multimedia. editor / René Mayrhofer ; Luke Chen ; Matthias Steinbauer ; Gabriele Kotsis ; Ismail Khalil. New York, NY : Association for Computing Machinery (ACM), 2013. pp. 525-531

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abstract = "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.",

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Liotta, A, Mocanu, DC, Menkovski, V, Cagnetta, L & Exarchakos, G 2013, Instantaneous video quality assessment for lightweight devices. in R Mayrhofer, L Chen, M Steinbauer, G Kotsis & I Khalil (eds), MoMM '13: Proceedings of International Conference on Advances in Mobile Computing & Multimedia. Association for Computing Machinery (ACM), New York, NY, pp. 525-531, 11th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2013, Vienna, Austria, 2/12/13. https://doi.org/10.1145/2536853.2536903

Instantaneous video quality assessment for lightweight devices. / Liotta, Antonio; Mocanu, Decebal Constantin; Menkovski, Vlado; Cagnetta, Luciana; Exarchakos, Georgios.

MoMM '13: Proceedings of International Conference on Advances in Mobile Computing & Multimedia. ed. / René Mayrhofer; Luke Chen; Matthias Steinbauer; Gabriele Kotsis; Ismail Khalil. New York, NY : Association for Computing Machinery (ACM), 2013. p. 525-531.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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.

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Liotta A, Mocanu DC, Menkovski V, Cagnetta L, Exarchakos G. Instantaneous video quality assessment for lightweight devices. In Mayrhofer R, Chen L, Steinbauer M, Kotsis G, Khalil I, editors, MoMM '13: Proceedings of International Conference on Advances in Mobile Computing & Multimedia. New York, NY: Association for Computing Machinery (ACM). 2013. p. 525-531 https://doi.org/10.1145/2536853.2536903

Instantaneous video quality assessment for lightweight devices

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Keywords

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