COMPLEXITY ANALYSIS OF VVC ENCODING AND DECODING

  • Farhad Pakdaman (University of Tehran) (Creator)
  • Mohammad Ali Adelimanesh (Creator)
  • Moncef Gabbouj (Creator)
  • Mahmoud Reza Hashemi (Creator)

Dataset

Description

While the next generation video compression standard, Versatile Video Coding (VVC), provides a superior compressing efficiency, its computational complexity dramatically increases. This dataset provides thoroughly analisis on complexity of both encoder and decoder of VVC Test Model 6.0. Encoding anddecoding operations have been performed for six video sequences of 720p, 1080p, and 2160p resolutions, and under Low-Delay (LD), Random-Access (RA), and All-Intra (AI) conditions (a total of 320 encoding/decoding operations). All operations were analyzed with Intel VTune 2019 and results of these analysis are collected and reported in this dataset.
Date made available2020
PublisherIEEE DataPort

Field of science, Statistics Finland

  • 113 Computer and information sciences
  • 1 Conference contribution

  • Complexity Analysis Of Next-Generation VVC Encoding And Decoding

    Pakdaman, F., Adelimanesh, M. A., Gabbouj, M. & Hashemi, M. R., 1 Oct 2020, 2020 IEEE International Conference on Image Processing (ICIP). IEEE, p. 3134-3138 5 p. (Proceedings : International Conference on Image Processing).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

    120 Citations (Scopus)

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