HyperAIHyperAI

Command Palette

Search for a command to run...

4 months ago

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

Anastasia Zvezdakova; Dmitriy Kulikov; Denis Kondranin; Dmitriy Vatolin

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

Abstract

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.

Benchmarks

BenchmarkMethodologyMetrics
video-quality-assessment-on-msu-video-qualityY-NIQE
KLCC: 0.4215
PLCC: 0.6713
SRCC: 0.5985
Type: NR

Build AI with AI

From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.

AI Co-coding
Ready-to-use GPUs
Best Pricing
Get Started

Hyper Newsletters

Subscribe to our latest updates
We will deliver the latest updates of the week to your inbox at nine o'clock every Monday morning
Powered by MailChimp
Barriers towards no-reference metrics application to compressed video quality analysis: on the example of no-reference metric NIQE | Papers | HyperAI