Quantitative assessment of inter-frame prediction in versatile video coding standard

Versatile Video Coding (VVC) is the latest video coding standard established by ISO and ITU-T, boasting a doubled coding efficiency compared to previous standards. However, this substantial enhancement in coding efficiency comes at the cost of an increase in computational demands, posing challenges for practical implementations. This paper conducts a thorough and quantitative assessment of VVC inter-frame prediction, the most computationally intensive tool in the VVC encoder. A comprehensive set of experiments on inter-frame prediction is presented, with a detailed evaluation of the primary bottlenecks of this tool. To the best of the authors’ knowledge, this work is the first in the literature to offer this in-depth assessment of VVC inter-frame prediction.

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Publication Details

Journal
Multimedia Tools and Applications
Published
2026-02-03
DOI
https://doi.org/10.1007/s11042-026-21236-3
Primary Topic
Video Coding and Compression Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantitative assessment of inter-frame prediction in versatile video coding standard

Gustavo Sanchez, Ramiro Gomes da Silva Viana, Marta Loose, Guilherme Corrêa et al.
Multimedia Tools and Applications
Video Coding and Compression Technologies
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Quantitative assessment of inter-frame prediction in versatile video coding standard

Gustavo Sanchez, Ramiro Gomes da Silva Viana, Marta Loose, Guilherme Corrêa, Luciano Agostini
article en

Abstract

Versatile Video Coding (VVC) is the latest video coding standard established by ISO and ITU-T, boasting a doubled coding efficiency compared to previous standards. However, this substantial enhancement in coding efficiency comes at the cost of an increase in computational demands, posing challenges for practical implementations. This paper conducts a thorough and quantitative assessment of VVC inter-frame prediction, the most computationally intensive tool in the VVC encoder. A comprehensive set of experiments on inter-frame prediction is presented, with a detailed evaluation of the primary bottlenecks of this tool. To the best of the authors’ knowledge, this work is the first in the literature to offer this in-depth assessment of VVC inter-frame prediction.

Multimedia Tools and ApplicationsVol. 85(2)
Universidade Federal de Pelotas (BR), Instituto Federal do Sertão Pernambucano (BR), Instituto Federal Farroupilha (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul
Openalex Percentile: Top 68%
Video Coding and Compression Technologies
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