Abstract

As a newly proposed video coding standard, Versatile Video Coding (VVC) has adopted some revolutionary techniques compared to High Efficiency Video Coding (HEVC). The multiple-mode affine motion compensation (MM-AMC) adopted by VVC saves approximately 15%-25% Bjøntegaard Delta Bitrate (BD-BR), with an inevitable increase of encoding time. This paper gives an overview of both the 4-parameter affine motion model and the 6-parameter affine motion model, analyzes their performances, and proposes improved algorithms according to the symmetry of iterative gradient descent for fast affine motion estimation. Finally, the proposed algorithms and symmetric MM-AMC flame of VTM-7.0 are compared. The results show that the proposed algorithms save 6.65% total encoding time on average, which saves approximately 30% encoding time of affine motion compensation.

Highlights

  • H.264/AVC [1] was successfully standardized in 2003, which can provide better quality of the reconstructed image under the same bandwidth

  • We propose a modified AAMVP for 6-parameters according to the symmetry of AAMVP for 4-parameters in Versatile Video Coding (VVC)

  • We propose a new judgment current motion vectors (MVs) combination forms a 4-parameter affine motion model with a smaller DMV in Formula (13), rule for AAMVP for the 6-parameter affine motion model

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Summary

Introduction

H.264/AVC [1] was successfully standardized in 2003, which can provide better quality of the reconstructed image under the same bandwidth. In the inter-prediction process, the affine motion model was adopted as an important coding tool, saving approximately 15–25% BD-rate alone in the current test model. Motion Compensation (TMC) as the underlying model for motion compensation, meaning that the object motion information is presented by only one motion vector This model cannot effectively predict rotation, scale, and shearing motion in most video sequences. CFP proposed foundation, this paper proposes improved methods, and the rest of the paper is organized as follows: multiple model affine motion compensation (MM-AMC) and efficient MVPs for AMC [7]. Procedure results are shown in this improved methods, and theThe restexperimental of the paper is organizedand as follows: the paper is concluded in.

Related Works
Fast Gradient Prediction
AAMVP for 6-Parameters
An example the6-parameter
Simulation Setup
Performance and Analysis
Conclusions
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