MMCVGRPFJul 8, 2019

Barriers towards no-reference metrics application to compressed video quality analysis: on the example of no-reference metric NIQE

arXiv:1907.03842v214 citations
Originality Synthesis-oriented
AI Analysis

This work highlights limitations in using NIQE for video quality analysis, which is important for researchers and engineers in video compression, but it is incremental as it focuses on diagnosing existing metric problems rather than proposing a new solution.

The paper analyzed the application of the no-reference metric NIQE for video-codec comparison, identifying issues such as outlying scores on black/solid-colored frames and low-quality scores for detailed textures, and found it not universally applicable despite some improvements from averaging techniques.

This paper analyses the application of no-reference metric NIQE to the task of video-codec comparison. A number of issues in the metric behaviour on videos was detected and described. The metric has outlying scores on black and solid-coloured frames. The proposed averaging technique for metric quality scores helped to improve the results in some cases. Also, NIQE has low-quality scores for videos with detailed textures and higher scores for videos of lower bitrates due to the blurring of these textures after compression. Although NIQE showed natural results for many tested videos, it is not universal and currently can not be used for video-codec comparisons.

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