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Fusion: Practice and Applications
Volume 15 , Issue 2, PP: 08-16 , 2024 | Cite this article as | XML | Html |PDF

Title

Optimizing H.266/VVC Intra Coding with a Genetic Algorithm: Balancing Speed and Quality

  Murooj Khalid I. Ibraheem 1 * ,   Alexander V. Dvorkovich 2

1  Department of Multimedia Technologies and Telecommunications, Phystech-School of Radio Engineering and Computer Technologies (FRKT), Moscow Institute of Physics and Technology (MIPT), Dolgoprudny, Russia
    (ibragim.m@phystech.edu)

2  Department of Multimedia Technologies and Telecommunications, Phystech-School of Radio Engineering and Computer Technologies (FRKT), Moscow Institute of Physics and Technology (MIPT), Dolgoprudny, Russia
    (dvork.alex@gmail.com)

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Doi   :   https://doi.org/10.54216/FPA.150201

Received: July 28, 2023 Revised: November 09, 2023 Accepted: February 22, 2024

Abstract :

The growing need for high-definition video material requires improvements in video encoding systems that maximize encoding performance while simultaneously improving compression efficiency. This paper presents a novel genetic algorithm-based intra-coding optimization method for the H.266/Versatile Video Coding (VVC) standard. One of the biggest problems in video compression is finding the ideal balance between encoding speed and video quality, which is what our approach aims to solve. Our suggested method makes use of the strong search capabilities of the evolutionary algorithm to choose the best Multi-Type Tree (MTT) partitions and coding tools from the wide range of possibilities present in H.266/VVC. The wellness assessment work that guides this choice method combines criteria for perceptual appraisal of video quality and measures for coding productivity appraisal.

Keywords :

H.266/VVC; Genetic Algorithm; Intra Coding; Encoding Speed; Video Quality; Optimization; Coding Tools; Multi-Type Tree (MTT) Partitions

References :

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Cite this Article as :
Style #
MLA Murooj Khalid I. Ibraheem, Alexander V. Dvorkovich. "Optimizing H.266/VVC Intra Coding with a Genetic Algorithm: Balancing Speed and Quality." Fusion: Practice and Applications, Vol. 15, No. 2, 2024 ,PP. 08-16 (Doi   :  https://doi.org/10.54216/FPA.150201)
APA Murooj Khalid I. Ibraheem, Alexander V. Dvorkovich. (2024). Optimizing H.266/VVC Intra Coding with a Genetic Algorithm: Balancing Speed and Quality. Journal of Fusion: Practice and Applications, 15 ( 2 ), 08-16 (Doi   :  https://doi.org/10.54216/FPA.150201)
Chicago Murooj Khalid I. Ibraheem, Alexander V. Dvorkovich. "Optimizing H.266/VVC Intra Coding with a Genetic Algorithm: Balancing Speed and Quality." Journal of Fusion: Practice and Applications, 15 no. 2 (2024): 08-16 (Doi   :  https://doi.org/10.54216/FPA.150201)
Harvard Murooj Khalid I. Ibraheem, Alexander V. Dvorkovich. (2024). Optimizing H.266/VVC Intra Coding with a Genetic Algorithm: Balancing Speed and Quality. Journal of Fusion: Practice and Applications, 15 ( 2 ), 08-16 (Doi   :  https://doi.org/10.54216/FPA.150201)
Vancouver Murooj Khalid I. Ibraheem, Alexander V. Dvorkovich. Optimizing H.266/VVC Intra Coding with a Genetic Algorithm: Balancing Speed and Quality. Journal of Fusion: Practice and Applications, (2024); 15 ( 2 ): 08-16 (Doi   :  https://doi.org/10.54216/FPA.150201)
IEEE Murooj Khalid I. Ibraheem, Alexander V. Dvorkovich, Optimizing H.266/VVC Intra Coding with a Genetic Algorithm: Balancing Speed and Quality, Journal of Fusion: Practice and Applications, Vol. 15 , No. 2 , (2024) : 08-16 (Doi   :  https://doi.org/10.54216/FPA.150201)
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