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<p>Joint Video Experts Team (JVET) continues to explore next-generation video coding technologies to surpass the potential of the Versatile Video Coding (VVC) system, addressing computational complexity. One of the promising advancements is the post-VVC, an alternative framework designed to improve coding efficiency while mitigating VVC’s high computational cost. In this paper, the encoder time distribution was performed under the Enhanced Compression Model ECM 13.0. In addition, a performance analysis of the post-VVC intra prediction module was carried out. Experimental results reveal that Rate-Distortion (RD) cost dominates the total encoding time, accounting for up to 60%. Moreover, the paper presents statistical observations of intra prediction techniques selected by the encoder. Experimental results prove that some tools are rarely used. Hence, a fast algorithm based on the statistical analysis was performed, skipping the rarely used tools in order to reduce post-VVC complexity. Empirical findings of the proposed method showed an average encoding time reduction reaching approximately 18.15%. This improvement was accompanied by a tolerable loss in video quality and an increase in terms of bitrate cost.</p>

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Fast algorithm for Post-VVC intra prediction module based on statistical analysis

  • 期刊论文

  • 发表日期：

    2025年9月11日

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  • Amina KESSENTINI,
  • Ibtissem Wali,
  • Narimen Elkawach,
  • Bouthaina DAMMAK,
  • Nouri Masmoudi

摘要

Joint Video Experts Team (JVET) continues to explore next-generation video coding technologies to surpass the potential of the Versatile Video Coding (VVC) system, addressing computational complexity. One of the promising advancements is the post-VVC, an alternative framework designed to improve coding efficiency while mitigating VVC’s high computational cost. In this paper, the encoder time distribution was performed under the Enhanced Compression Model ECM 13.0. In addition, a performance analysis of the post-VVC intra prediction module was carried out. Experimental results reveal that Rate-Distortion (RD) cost dominates the total encoding time, accounting for up to 60%. Moreover, the paper presents statistical observations of intra prediction techniques selected by the encoder. Experimental results prove that some tools are rarely used. Hence, a fast algorithm based on the statistical analysis was performed, skipping the rarely used tools in order to reduce post-VVC complexity. Empirical findings of the proposed method showed an average encoding time reduction reaching approximately 18.15%. This improvement was accompanied by a tolerable loss in video quality and an increase in terms of bitrate cost.