Uniformly Accelerated Motion Model for Inter Prediction

TL;DR

This paper introduces a uniformly accelerated motion model (UAMM) for inter prediction in video coding, improving prediction accuracy by modeling acceleration in moving objects, leading to slight bitrate reductions.

Contribution

The paper proposes a novel UAMM that incorporates acceleration into inter prediction, enhancing motion modeling in VVC and integrating it into existing modes for better accuracy.

Findings

Achieves up to 0.38% BD-rate reduction

Average 0.13% BD-rate reduction

Slight increase in encoding/decoding complexity

Abstract

Inter prediction is a key technology to reduce the temporal redundancy in video coding. In natural videos, there are usually multiple moving objects with variable velocity, resulting in complex motion fields that are difficult to represent compactly. In Versatile Video Coding (VVC), existing inter prediction methods usually assume uniform speed motion between consecutive frames and use the linear models for motion estimation (ME) and motion compensation (MC), which may not well handle the complex motion fields in the real world. To address these issues, we introduce a uniformly accelerated motion model (UAMM) to exploit motion-related elements (velocity, acceleration) of moving objects between the video frames, and further combine them to assist the inter prediction methods to handle the variable motion in the temporal domain. Specifically, first, the theory of UAMM is mentioned. Second, based on that, we propose the UAMM-based parameter derivation and extrapolation schemes in the coding process. Third, we integrate the UAMM into existing inter prediction modes (Merge, MMVD, CIIP) to achieve higher prediction accuracy. The proposed method is implemented into the VVC reference software, VTM version 12.0. Experimental results show that the proposed method achieves up to 0.38% and on average 0.13% BD-rate reduction compared to the VTM anchor, under the Low-delay P configuration, with a slight increase of time complexity on the encoding/decoding side.