Detail publikace

Advanced Algorithms for Compression of Videos with Ultra High Resolution

SOUKENÍK, O. POLÁK, L. KUFA, J.

Originální název

Advanced Algorithms for Compression of Videos with Ultra High Resolution

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In this paper, attention is devoted to advanced video codecs (HEVC, VVC, VP9 and AV1 and their utilization for compression of videos with Ultra High Resolution (UHD), also marked as 4K and 8K. A Python-based program employing FFmpeg multimedia framework is created to explore compression performances of such video codecs. It allows to automate encoding process and record all important information during the video compression (e.g. the required CPU time, time consumption, RAM usage). The performance of the video compression algorithms is evaluated in terms of objective quality metrics. First experimental results show that video codecs VVC and AV1 could replace HEVC and VP9 for 4K and 8K videos in the future.

Klíčová slova

video codecs, objective metrics, FFmpeg, HEVC, VVC, VP9, AV1, Python

Autoři

SOUKENÍK, O.; POLÁK, L.; KUFA, J.

Vydáno

26. 4. 2022

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

978-80-214-6030-0

Kniha

Proceedings II of the 28 th Conference STUDENT EEICT 2022 Selected Papers

Edice

1

Strany od

71

Strany do

74

Strany počet

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v3.pdf

BibTex

@inproceedings{BUT178281,
  author="Ondřej {Soukeník} and Ladislav {Polák} and Jan {Kufa}",
  title="Advanced Algorithms for Compression of Videos with Ultra High Resolution",
  booktitle="Proceedings II of the 28 th Conference STUDENT EEICT 2022 Selected Papers",
  year="2022",
  series="1",
  pages="71--74",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6030-0",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v3.pdf"
}