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Preprints of the Keldysh Institute of Applied Mathematics, 2022, 081, 24 pp.
DOI: https://doi.org/10.20948/prepr-2022-81
(Mi ipmp3106)
 

This article is cited in 2 scientific papers (total in 2 papers)

Compressed video quality assessment for super-resolution: a benchmark and a quality metric

E. N. Bogatyrev, I. A. Molodetskikh, D. S. Vatolin, V. A. Galaktionov
References:
Abstract: We developed a super-resolution (SR) benchmark to analyze SR capabilities to upscale compressed videos. The dataset for the benchmark was collected using video codecs of 5 different compression standards. We assessed 17 state-of-the-art SR models using our benchmark and evaluated their ability to preserve scene context and their robustness to compression artifacts. To get an accurate perceptual ranking of SR models, we conducted a crowd-sourced side-by-side comparison of SR results.
We also analyzed the results of the benchmark and developed an objective quality assessment metric based on existing best-performing objective metrics. Our metric outperforms other video quality metrics by Spearman correlation with subjective scores for the task of upscaling compressed videos.
Keywords: super-resolution, video processing, dataset, video compression.
Funding agency Grant number
Russian Science Foundation 22-21-00478
Document Type: Preprint
Language: Russian
Citation: E. N. Bogatyrev, I. A. Molodetskikh, D. S. Vatolin, V. A. Galaktionov, “Compressed video quality assessment for super-resolution: a benchmark and a quality metric”, Keldysh Institute preprints, 2022, 081, 24 pp.
Citation in format AMSBIB
\Bibitem{BogMolVat22}
\by E.~N.~Bogatyrev, I.~A.~Molodetskikh, D.~S.~Vatolin, V.~A.~Galaktionov
\paper Compressed video quality assessment for super-resolution: a benchmark and a quality metric
\jour Keldysh Institute preprints
\yr 2022
\papernumber 081
\totalpages 24
\mathnet{http://mi.mathnet.ru/ipmp3106}
\crossref{https://doi.org/10.20948/prepr-2022-81}
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  • https://www.mathnet.ru/eng/ipmp3106
  • https://www.mathnet.ru/eng/ipmp/y2022/p81
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Препринты Института прикладной математики им. М. В. Келдыша РАН
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    Abstract page:58
    Full-text PDF :12
    References:7
     
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