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Non-CE6: Removal of LFNST for 4x4, 4xN and Nx4 blocks
Abstract
This document proposes to disable LFNST for 4x4, 4xN and Nx4 blocks and reduce latency, which is critical for small blocks, and it reduces 2KB of memory. The experimental results show that the proposed simplification leads to 0.16% AI and 0.10% RA luma BD-rate losses over VTM-6.0, and the encoder runtime is reduced about 10% for AI coding.
JVET-P0634 Non-CE6: Removal of LFNST for 4x4, 4xN and Nx4 blocks [H. E. Egilmez, T. Hsieh, V. Seregin, M. Karczewicz (Qualcomm)] [late]
This document proposes to disable LFNST for 4x4, 4xN and Nx4 blocks and reduce latency, which is critical for small blocks, and it reduces 2KB of memory. The experimental results show that the proposed simplification leads to 0.16% AI and 0.10% RA luma BD-rate losses over VTM-6.0, and the encoder runtime is reduced about 10% for AI coding.
Latency is not critical at decoder, as the residual can be reconstructed separately from the prediction. An encoder that has latency problems might better disable LFNST. The loss is too large to justify the change.
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Decisions
Latency is not critical at decoder, as the residual can be reconstructed separately from the prediction. An encoder that has latency problems might better disable LFNST. The loss is too large to justify the change.
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