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This paper describes a joint response to the Call for Proposals by Samsung, Huawei, GoPro, and HiSilicon on Video Compression with Capability beyond HEVC/H.265, jointly issued by ITU-T SG16 Q.6 (VCEG) and ISO/IEC JTC1/SC29/WG11 (MPEG). In the proposed codec, the coding framework supports hierarchical splitting with binary and ternary trees and flexible coding order representations. Additionally, novel compression tools on inter/intra prediction, in-loop filtering, and entropy coding have been proposed. The proposed compression scheme provides significantly higher compression capability than the state-of-the-art HEVC/H.265 standard for SDR (Standard Dynamic Range) category while maintaining complexity acceptable for emerging applications. When all the proposed algorithmic tools are used, the proposed video codec achieves approximately 40% bit-saving for the SDR cetegory on average compared to HEVC/H.265 anchor.

This paper proposes a new motion vector expression method named merge mode with motion vector difference (MMVD) for future video coding standards. In the previous standards, two approaches are typically used for motion vector representation. In the first one, the motion vector is derived from neighboring blocks and is directly used for motion compensation (merge mode in HEVC), and in the other one, the motion vector is represented with motion vector predictor and a difference (adaptive motion vector prediction; AMVP in HEVC). The merge mode benefits by saving bits for representing motion information. The AMVP represents more accurate motion information but it needs to signal the motion difference information, which consumes additional bits. MMVD provides a compromised solution for the tradeoff between motion vector accuracy and its overhead. MMVD can improve motion vector accuracy by introducing a simplified motion vector representation. The results show that the proposed method improves coding efficiency ofV VC with an average of 0.51% in BD-rate saving.

This paper proposes a novel video compression scheme for high-quality video service and emerging applications such as 360-degree omnidirectional and high dynamic range video coding. The coding framework supports hierarchical splitting of blocks with binary and ternary-split trees and flexible coding order representations. Moreover, minimal tool set to obtain high precision prediction and compression enhancement has been proposed. Compared to HEVC, bit-rate reduction of around 40% based on objective measures has been shown. This was one of the responses to the Call for Proposals (CfP) for VVC standardization.