Cited by 32Video Coding and Compression TechnologiesAdvanced Data Compression TechniquesImage and Video Quality Assessment

Comparative Evaluation of VVC, HEVC, H.264, AV1, and VP9 Encoders for Low-Delay Video Applications

Mansri, Islem, Doghmane, Noureddine, Kouadria, Nasreddine, Harize, Saliha, Bekhouch, Amara·2020·2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA)

Abstract

The evolution of the Internet and wireless communications led real-time applications with high and ultra-high-definition video to flourish. However, due to the fact that video is a bandwidth-greedy media stream, numerous codecs such as AV1 and Versatile Video Coding (VVC) that implement different techniques, have emerged. Indeed, investigating the performance of different compression standards is crucial to select the appropriate codec for a specific application. This paper provides a comparative assessment of the compression efficiency for the above-mentioned standards according to their prominent predecessors VP9, HEVC and H.264. Seven encoder implementations were used for benchmarking AV1, VP9, VVC, HEVC and H.264. i.e. AV1, VP9, VTM, (HM and x265), as well as (JM and x264) respectively. The low-dealy configuration pattern was utilized as it provides the lowest delay in contrast to random-access and all-Intra configurations. Indeed, to address real-time mobile applications, class C video sequences that are very sought after in many applications such as video surveillance or road safety were used for the conducted experiments. The obtained results show that each newly born codec outperforms its predecessor in terms of coding efficiency with an increase in the computational complexity. VVC achieves the highest compression performance in comparison to its predecessors even with the optimized version (x265, x264) with a noticeable increase in encoding run time, while VP9 provides average bit-rate overhead according to its successor AV1 for the industrial standards.

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Crossref · 10.1109/mcna50957.2020.9264275

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Authors
Mansri, I., Doghmane, N., Kouadria, N., Harize, S., & Bekhouch, A.
Affiliations
  • Badji Mokhtar-Annaba University (DZ)
  • Mohamed-Cherif Messaadia University (DZ)
Venue
2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA)
Publisher
IEEE
Published
2020-10-19
Pages
38-43
OpenAlex
W3108254140
Cited by
32
References
0
Citations by year
2026: 2 · 2025: 6 · 2024: 7 · 2023: 10 · 2022: 6 · 2021: 1
FWCI
2.66
Type
conference paper
Language
en
Open access
closed
Locations
International Conference on Multimedia Computing, Networking and Applications (MCNA) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Signal Processing › Video Coding and Compression Technologies
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Data Compression Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
Keywords
video coding standards, AV1, Versatile Video Coding, HEVC, H.264/AVC, VP9, x265, x264, video compression efficiency, mobile video surveillance

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