Enhanced Template-based Intra Mode Derivation with Adaptive Block Vector Replacement
Abstract
Intra prediction is a crucial component in traditional video coding frameworks, aiming to eliminate spatial redundancy within frames. In recent years, an increasing number of decoder-side adaptive mode derivation methods have been adopted into Enhanced Compression Model (ECM). However, these methods predominantly rely on adjacent spatial information for intra mode decision-making, overlooking potential similarity patterns in non-adjacent spatial regions, thereby limiting intra prediction efficiency. To address this limitation, this paper proposes a template-based intra mode derivation approach enhanced by block vector-based prediction. The adaptive block vector replacement strategy effectively expands the reference scope of the existing template-based intra mode derivation mode to non-adjacent spatial information, thereby enhancing prediction efficiency. Extensive experiments demonstrate that our strategy achieves 0.082% Bj{\o}ntegaard delta rate (BD-rate) savings for Y components under the All Intra (AI) configuration compared to ECM-16.1 while maintaining identical encoding/decoding complexity, and delivers an additional 0.25% BD-rate savings for Y components on screen content sequences.
Cite
@article{arxiv.2509.25668,
title = {Enhanced Template-based Intra Mode Derivation with Adaptive Block Vector Replacement},
author = {Jiaqi Zhang and Jiaye Fu and Chuanmin Jia and Siwei Ma and Karam Naser and Thierry Dumas and Saurabh Puri and Milos Radosavljevic},
journal= {arXiv preprint arXiv:2509.25668},
year = {2025}
}