VMAF and variants: towards a unified VQA

P. Topiwala; W. Dai; J. Pian; K. Biondi; A. Krovvidi

doi:10.1117/12.2594772

1 August 2021 VMAF and variants: towards a unified VQA

P. Topiwala, W. Dai, J. Pian, K. Biondi, A. Krovvidi

Proceedings Volume 11842, Applications of Digital Image Processing XLIV; 118420F (2021) https://doi.org/10.1117/12.2594772
Event: SPIE Optical Engineering + Applications, 2021, San Diego, California, United States

Abstract

Video quality analysis (VQA) is a critical processing task for all major video services. We take streaming services as a key example. Among many possible video encodings of the source material, it is vital to distinguish which encoding would produce the most favorable ratings in terms of quality by the viewers. VQA techniques aim to predict that human quality rating by objective methods. Among such methods, the VMAF algorithm, designed by Netflix, has come into prominence in recent years. We examine VMAF as well as several variants that we have developed, and assess their ability to predict human quality scoring.

Conference Presentation

Citation Download Citation

P. Topiwala, W. Dai, J. Pian, K. Biondi, and A. Krovvidi "VMAF and variants: towards a unified VQA", Proc. SPIE 11842, Applications of Digital Image Processing XLIV, 118420F (1 August 2021); https://doi.org/10.1117/12.2594772

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