Sub-block-based motion vector refinement of AVM

Mohammed Golam Sarwer; Jianle Chen; Debargha Mukherjee

doi:10.1117/12.2681766

4 October 2023 Sub-block-based motion vector refinement of AVM

Mohammed Golam Sarwer, Jianle Chen, Debargha Mukherjee

Proceedings Volume 12674, Applications of Digital Image Processing XLVI; 126740O (2023) https://doi.org/10.1117/12.2681766
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Abstract

This paper improves the inter prediction method of AOMedia Video Model (AVM) by introducing a sub-block based motion vector (MV) refinement method. In the proposed method, if a block is coded as a compound mode with bidirectional reference frame, MVs of the blocks are refined before producing the final prediction. In the proposed method, at first a predicted block is divided into number of non-overlapping sub-blocks. Then, for each sub-block, offset motion vectors are searched by minimizing the sum of absolute differences (SAD) between two predicted signals P0 and P1 (Assume, P0 and P1 are the predicted blocks from reference 0 and 1, respectively ). To simplify the searching process, instead of full search, a two-step integer search is proposed. At the first step, 9 offset MVs are searched ( initial MV and 8 neighbors ). The offset which produces minimum SAD in first step is selected as the center for the second step. In the second step, additional searching is conducted around the best offset found from the first step. A block level flag is conditionally signaled in the bitstream to indicate if the proposed method is used or not. The proposed method is implemented in AVM reference software research-v4.0.0. The simulation results show the proposed method can achieve -0.47% (YUV) and 0.90% (VMAF) BDRate gain as compared to AVM research-v4.0.0.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mohammed Golam Sarwer, Jianle Chen, and Debargha Mukherjee "Sub-block-based motion vector refinement of AVM", Proc. SPIE 12674, Applications of Digital Image Processing XLVI, 126740O (4 October 2023); https://doi.org/10.1117/12.2681766

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