Video Decoder Filter Coefficient Transfer Control

The patent applies preliminary action by pre-calculating and storing multiple candidate filter coefficients in the coded video stream before decoding. This allows the decoder to directly retrieve pre-prepared coefficients without performing complex real-time calculations, thereby improving coding efficiency while managing memory bandwidth requirements through selective retrieval of only needed coefficients.

The patent implements local quality by adapting filter coefficients to local image characteristics. Different filter coefficients are selected and applied to different regions or blocks within the video data based on their specific characteristics, enabling adaptive motion compensation that improves coding efficiency for various local patterns while controlling overall memory usage through targeted coefficient selection.

The patent reduces memory access latency by pre-calculating and embedding multiple candidate filter coefficients in the coded video stream during encoding. During decoding, the system can quickly retrieve these pre-prepared coefficients without waiting for real-time computation, significantly reducing access latency while maintaining adaptive coding efficiency.

The patent employs dynamics by implementing a mechanism that dynamically selects appropriate filter coefficients based on real-time image characteristics during decoding. This dynamic selection process allows the system to adapt to varying local patterns efficiently while managing memory access latency through intelligent, context-dependent coefficient retrieval rather than uniform processing.

The patent applies segmentation by dividing the video data into discrete blocks or regions and assigning specific filter coefficients to each segment based on its characteristics. This segmentation approach enables sub-pixel accuracy prediction for each local region while simplifying device complexity by managing coefficients in smaller, organized units rather than processing the entire frame uniformly.

The patent utilizes parameter changes by varying filter coefficients according to local image characteristics such as texture, motion patterns, or edge orientations. This parameter adaptation enables high sub-pixel accuracy by optimizing coefficients for specific conditions while managing device complexity through systematic parameter selection based on measurable image features rather than exhaustive processing.