Scalable Video Coding Filter Adaptation for Complexity Reduction

The patent changes the parameters of the filtering operations by using selective application of up-sampling and motion compensation interpolation filters based on block size thresholds. For small enhancement layer blocks, the filters are bypassed or simplified, while for larger blocks the full filtering is applied. This parameter-based selection resolves the contradiction by adapting the computational complexity to the actual quality requirements of different block sizes.

The patent introduces dynamic filtering where the application of up-sampling and motion compensation interpolation filters is not fixed but dynamically determined based on the size of the enhancement layer block. The system adapts the filtering intensity and memory access patterns according to the specific block being processed, thereby optimizing the balance between video quality and computational complexity for each block individually.

The patent applies local quality by differentiating the filtering treatment based on the local characteristics of enhancement layer blocks, specifically their size. Small blocks receive simplified or no filtering to reduce memory access, while large blocks receive full filtering for high prediction accuracy. This local differentiation resolves the contradiction by matching the filtering intensity to the actual prediction needs of each block.

The patent segments the enhancement layer blocks into different categories based on size thresholds, applying different filtering strategies to each segment. This segmentation allows the system to optimize memory access requirements for small blocks while maintaining high prediction accuracy for large blocks that benefit from complex filtering operations.

The patent applies partial action by selectively enabling Generalized Residual Prediction only for enhancement layer blocks that meet certain size criteria. For small blocks, the full GRP process is omitted or simplified, avoiding unnecessary processing complexity. This selective application maintains coding efficiency for blocks where GRP provides benefits while reducing complexity for blocks where it would be excessive.

The patent changes the operational parameters of Generalized Residual Prediction based on block size, transitioning from full GRP application for large blocks to simplified or disabled GRP for small blocks. This parameter-based control resolves the contradiction between coding efficiency and processing complexity by adapting the GRP intensity to the specific block characteristics.