Enhanced Template-based Intra Mode Derivation with Adaptive Block Vector Replacement
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arXiv
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| Autores principales: | , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866908568273289216 |
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| author | Zhang, Jiaqi Fu, Jiaye Jia, Chuanmin Ma, Siwei Naser, Karam Dumas, Thierry Puri, Saurabh Radosavljevic, Milos |
| author_facet | Zhang, Jiaqi Fu, Jiaye Jia, Chuanmin Ma, Siwei Naser, Karam Dumas, Thierry Puri, Saurabh Radosavljevic, Milos |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_25668 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Enhanced Template-based Intra Mode Derivation with Adaptive Block Vector Replacement Zhang, Jiaqi Fu, Jiaye Jia, Chuanmin Ma, Siwei Naser, Karam Dumas, Thierry Puri, Saurabh Radosavljevic, Milos Image and Video Processing Multimedia 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. |
| title | Enhanced Template-based Intra Mode Derivation with Adaptive Block Vector Replacement |
| topic | Image and Video Processing Multimedia |
| url | https://arxiv.org/abs/2509.25668 |