Adjustable per-symbol entropy coding probability updating adapts compression models dynamically to optimize data streams.
Syntax elements signal neural network post-filter parameters to resolve information loss while controlling device complexity.
Segmenting point clouds into depth layers reduces bit-rate and storage requirements while maintaining high-quality reconstructions.
Applying dedicated non-separable kernels to residual data improves compression performance while managing device complexity through adaptive selection.
Segmenting images into independent portions limits error propagation during wireless transmission.
Intra-subpartitioning mode splits coding blocks into sub-blocks to prevent processing across Virtual Pipeline Data Unit boundaries.
Determines split shape mode information from a bitstream to decode coding blocks, reducing bitrate while maintaining decoding precision.
A video encoder constrains transmission bit-rate by determining base and minimum quantization scales for image frame segments.
Decimation filter removes spatial and temporal data components while a comparator generates a difference tool to restore original accuracy.
Adjusting reference sample locations within layer boundaries enables efficient inter-layer prediction and parallel processing across video layers.
A video decoding apparatus constructs a merge candidate list using spatial and temporal candidates to derive motion information for prediction blocks.
Temporal motion vector predictor scales base layer elements using integer arithmetic, eliminating division operations that increase processing complexity.
Segmenting prediction trees into leaf units allows selective mode application to balance accuracy against device complexity.
A video transmission system adjusts resolution and frame rate based on motion sensor data to manage bandwidth.
Selective bilateral template motion vector refinement enhances motion compensation accuracy while minimizing processing time and bandwidth usage.
Palette-based video coding maps pixel values to discrete color indices, resolving inefficient compression of high-contrast screen content.
A frame rate conversion system adapts processing parameters by switching between predefined profiles to maintain optimal video rendering.
A dynamic adaptive streaming encoding system determines optimal video versions using complexity-bit rate-distortion models.
A video coding device dynamically identifies the recovery point picture within received bitstreams to maintain decoding integrity.
Context adaptive binary arithmetic coding switches between regular and bypass modes to optimize video decoding operations.
An image processing apparatus restricts block sizes and prediction methods to generate encoded streams.
Segmenting video slices at wavefront boundaries prevents spillover delays, enabling seamless parallel processing without waiting for subsequent headers.
Segmenting the macroblock into sub-blocks allows independent quantization parameters, resolving precision limits from single-parameter control.
Constraints on derived motion vectors filter invalid data, resolving the trade-off between coding efficiency and bit-rate in video compression.
Grouping syntax elements into Group of Slices parameter sets reduces transmission redundancy while maintaining error resilience and compression efficiency.
Distributing I-slices progressively across video frames reduces network burst impact and packet loss by enabling co-located inter-prediction references.
A video decoding method adjusts reference block resolution to match current blocks, enabling directional prediction across varying resolutions.
A video decoder selects coefficient scan orders based on transform types to reduce signaling overhead.
Reorders encoding to process inter-predicted blocks first, providing reconstructed pixel data for subsequent intra prediction.
Dynamic subblock sizing in overlapped block motion compensation reduces visual artifacts while maintaining coding efficiency.
Modifying motion vectors for non-4:2:0 chroma blocks reduces memory bandwidth while maintaining coding efficiency.
A video coding apparatus generates a merge candidate list by performing multiple search rounds to identify motion vector predictors from adjacent and non-adjacent spatial blocks.
Memory control means determine storable reference pictures based on input frame size to optimize buffer usage.
Detecting flat and non-flat regions allows selective dithering that reduces bitrate while preventing visible seams during 10-bit to 8-bit conversion.
Client devices select omnidirectional video tiles based on 3D spatial coordinates to optimize bandwidth usage.
A selective direct mode encoding method calculates motion vectors using temporal and spatial correlations to determine the optimal coding mode.
Refines 3D point cloud data using quantizer shifts and multiple measurements to resolve compression quality trade-offs.
A decoding method derives slice indices implicitly from total sub-picture counts to reduce bitstream overhead.
An encoder calculates energy parameters per coding tree unit to determine quantization settings before encoding operations begin.
Template refined bi-prediction refines motion vectors by searching for better reference blocks, resolving linear motion trajectory limitations in video coding.
Adaptive loop filter replaces unavailable boundary samples with nearest available ones to maintain gradient accuracy and filtering quality.
A movie data container encodes free viewpoint data alongside video streams using predefined labels for distinct 3D objects.
A decoder reconstructs residual blocks with only the lowest frequency coefficient as a flat image to avoid artifacts in smooth areas.
Dynamic quantization parameters derived from color component frequency distributions eliminate unused code words and reduce coding artifacts in video sequences.
Adaptive quantization matrix selection based on intra prediction mode reduces memory storage and processing delays in video encoding.
A video coding method derives chroma quantization parameters via piece-wise linear functions to enhance flexibility.
Video processing derives reference templates without interpolation, eliminating complexity and improving coding efficiency.
A video compression method segments content by object features, groups similar segments, and retains key data to reduce storage requirements.
A video decoder reads adaptive loop filter parameters from an access unit delimiter to start processing picture slices immediately.