Geometric Partitioning Mode with Inter and Intra Prediction for Beyond Versatile Video Coding

Yoshitaka Kidani, Haruhisa Kato, Kei Kawamura, Hiroshi Watanabe

Research output: Contribution to journalArticlepeer-review

Abstract

Geometric partitioning mode (GPM) is a new inter prediction tool adopted in versatile video coding (VVC), which is the latest video coding of international standard developed by joint video expert team in 2020. Different from the regular inter prediction performed on rectangular blocks, GPM separates a coding block into two regions by the predefined 64 types of straight lines, generates inter predicted samples for each separated region, and then blends them to obtain the final inter predicted samples. With this feature, GPM improves the prediction accuracy at the boundary between the foreground and background with different motions. However, GPM has room to further improve the prediction accuracy if the final predicted samples can be generated using not only inter prediction but also intra prediction. In this paper, we propose a GPM with inter and intra prediction to achieve further enhanced compression capability beyond VVC. To maximize the coding performance of the proposed method, we also propose the restriction of the applicable intra prediction mode number and the prohibition of applying the intra prediction to both GPM-separated regions. The experimental results show that the proposed method improves the coding performance gain by the conventional GPM method of VVC by 1.3 times, and provides an additional coding performance gain of 1% bitrate savings in one of the coding structures for low-latency video transmission where the conventional GPM method cannot be utilized.

Original languageEnglish
Pages (from-to)1691-1703
Number of pages13
JournalIEICE Transactions on Information and Systems
VolumeE105D
Issue number10
DOIs
Publication statusPublished - 2022 Oct

Keywords

  • geometric partitioning mode (GPM)
  • inter prediction
  • intra prediction
  • versatile video coding (VVC)
  • video coding

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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