Dynamic basis function learning improves measurement precision and reduces memory usage by adapting dictionaries to signal characteristics.
Randomizes high-frequency transform coefficients to reduce artifacts in textured video areas without increasing bit rates.
Skipping frames that exceed compression intervals maintains audio-video synchronization and reduces queue delay.
A bitstream rewriter modifies encoded video data to produce scalable streams with temporal layers.
A method determines boundary strength values for edges in block-based encoded images using prediction residual data and motion compensation block locations.
Adaptive weighting filters use different attenuation rates for horizontal and vertical directions to resolve texture feature mismatches in video blocks.
Asymmetric frame packing reduces bandwidth by combining full and reduced resolution views, supporting legacy devices without quality loss.
Partitioning frames via local binary patterns allows distinct Wiener filters to reduce quantization noise while managing computational complexity.
A multi-format video decoder uses vector processing units to generate decoded signals from entropy data.
Hides upper left coefficient parity to conditionally decode flags, reducing worst-case context-coded bin throughput for video compression.