{"ID":2862431,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.25668","arxiv_id":"2509.25668","title":"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% Bjøntegaard 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.","short_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...","url_abs":"https://arxiv.org/abs/2509.25668","url_pdf":"https://arxiv.org/pdf/2509.25668v1","authors":"[\"Jiaqi Zhang\",\"Jiaye Fu\",\"Chuanmin Jia\",\"Siwei Ma\",\"Karam Naser\",\"Thierry Dumas\",\"Saurabh Puri\",\"Milos Radosavljevic\"]","published":"2025-09-30T02:06:11Z","proceeding":"eess.IV","tasks":"[\"eess.IV\",\"cs.MM\"]","methods":"[]","has_code":false}