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Versatile Video Coding is the latest video coding standard that introduces advanced techniques, notably the Multiple Reference Frame (MRF) tool aimed at enhancing Inter-prediction coding efficiency. However, integrating MRF escalates the coding process’s complexity. This paper proposes a novel method to simplify MRF selection of the VVC encoder. The proposed algorithm restricts the exhaustive motion vector search through all possible reference frames to the parent coding tree unit. The selected reference frame is then utilized as the sole reference during Inter-prediction processes for all the resulting children coding units from the partitioning process. Tested on the VVC reference software VTM-14 under a Random Access (RA) configuration, This method demonstrates a significant average reduction of 56.063% in the runtime of the motion estimation module and an overall encoder runtime enhancement of 9.385% with a negligible loss in the reconstructed video quality and bitrate.

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Selective Multiple Reference Frame Approach for VVC Standard

  • 会议论文

  • 发表日期：

    2026年

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  • Taheni Damak,
  • Rana Jassim Mohammed,
  • Mohamed Ali Ben Ayed

摘要

Versatile Video Coding is the latest video coding standard that introduces advanced techniques, notably the Multiple Reference Frame (MRF) tool aimed at enhancing Inter-prediction coding efficiency. However, integrating MRF escalates the coding process’s complexity. This paper proposes a novel method to simplify MRF selection of the VVC encoder. The proposed algorithm restricts the exhaustive motion vector search through all possible reference frames to the parent coding tree unit. The selected reference frame is then utilized as the sole reference during Inter-prediction processes for all the resulting children coding units from the partitioning process. Tested on the VVC reference software VTM-14 under a Random Access (RA) configuration, This method demonstrates a significant average reduction of 56.063% in the runtime of the motion estimation module and an overall encoder runtime enhancement of 9.385% with a negligible loss in the reconstructed video quality and bitrate.