SSIM-Variation-Based Complexity Optimization for Versatile Video Coding

TL;DR

This paper introduces a novel SSIM-variation-based method to optimize complexity in VVC encoding, significantly reducing encoding time while maintaining near-original quality.

Contribution

It proposes a new SSIMV-based decision scheme for split mode selection in VVC, improving encoding efficiency without substantial quality loss.

Findings

64.74% average encoding time saving

2.79% BDBR increase

Effective split mode selection strategy

Abstract

To date, Versatile Video Coding (VVC) has a more magnificent overall performance than High Efficiency Video Coding (HEVC). The Quadtree with Nested Multi-Type Tree (QTMT) coding block structure can substantially enhance video coding quality in VVC. However, the coding gain also leads to a greater coding complexity. Therefore, this letter proposes a Fast Decision Scheme Based on Structural Similarity Index Metric Variation (FDS-SSIMV) to solve this problem. Firstly, the Structural Similarity Index Metric Variation (SSIMV) characteristic among the sub coding units of the spit mode is illustrated. Next, to evaluate the SSIMV value, SSIMV measure strategies are designed for different split modes in this letter. Then, the desired split modes are selected by the SSIMV values. Experimental results show that the proposed method achieves 64.74\% average encoding Time Saving (TS) with a 2.79\% Bj$\varnothing$ntegaard Delta Bit Rate (BDBR), outperforming the benchmarks.