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Hacking VMAF with Video Color and Contrast Distortion

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arxiv 1907.04807 v2 pith:3AFEEKGG submitted 2019-07-10 cs.MM cs.GReess.IV

Anastasia Zvezdakova , Sergey Zvezdakov , Dmitriy Kulikov , Dmitriy Vatolin This is my paper · ORCID
classification cs.MMcs.GReess.IV
keywords videometriccomparisonscodecscolorcontrastfull-referencequality
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Video quality measurement takes an important role in many applications. Full-reference quality metrics which are usually used in video codecs comparisons are expected to reflect any changes in videos. In this article, we consider different color corrections of compressed videos which increase the values of full-reference metric VMAF and almost don't decrease other widely-used metric SSIM. The proposed video contrast enhancement approach shows the metric inapplicability in some cases for video codecs comparisons, as it may be used for cheating in the comparisons via tuning to improve this metric values.

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  1. Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment

    eess.IV 2024-11 conditional novelty 5.0 of 10

    Median smoothing plus a trained denoiser with ranking loss yields certified l2 robustness for no-reference image quality metrics while preserving correlation with subjective scores better than prior smoothing baselines.

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