A USB image data transmission apparatus allocates depth and color images to separate endpoints for parallel transfer.
Extracting scalability parameters into separate NAL units allows non-scalable decoders to ignore extra data while scalable decoders access enhanced layers.
A video decoding system classifies pictures into CRA, RAS, and non-RAS types to identify decodable frames for use as references.
A transmission apparatus dynamically selects between ordinary I-frames and GDR encoding based on real-time communication conditions.
Tile copying omits redundant tile content using reference offsets, reducing bandwidth requirements while maintaining error resilience.
Viewing condition adaptation system adjusts multimedia encoding rates based on sensors to resolve bandwidth waste from ideal-condition assumptions.
A simplified pruning operation adds history-based motion vector candidates to a predictor list only when they differ from existing entries.
Processing circuitry disables loop filters for screen content coding blocks based on prediction modes.
A processing circuitry determines prediction samples using a first linear transform of reference samples.
Pixel-level template matching improves prediction accuracy for screen content images, reducing error diffusion from traditional block-based methods.
Deriving chroma weights from collocated luma blocks reduces bandwidth usage while maintaining prediction accuracy in geometric partitioning video coding.
An inter-layer predictor adjusts output values for enhanced dynamic range video signals based on standard dynamic range inputs.
A video decoder derives a subset of intra-prediction modes from neighboring blocks to determine the final predictor for image reconstruction.
A selective differential prefix coding method adapts entropy encoding to local data patterns in display compression streams.
Offsets slice boundaries between frames to eliminate inter-encoder data copying and synchronization for motion vector search.
A swappable pod platform uses field programmable logic devices to route data through a module messaging interface network.
Adjusting parallel motion estimation region size dynamically resolves fixed configuration limits, improving coding efficiency across varying scenarios.
An interleaved video coding pipeline processes multiple picture sections in parallel using actual neighbor data for predictor information.
Arbitrary data scrambler transforms non-video signals for video interface transmission, eliminating secondary storage needs while maintaining timing integrity.
Parallel video encoders adjust quantization parameters based on parallelism measures to resolve oscillation and ensure stable convergence.
Explicit subpicture identifier signaling via parameter sets resolves bandwidth complexity trade-offs during adaptive resolution decoding.
Encoder uses human visual sensitivity tables to set frequency deadzones, reducing data volume while preserving perceived image quality.
A decoding device adapts prediction modes based on reference image criteria to optimize compression parameters for image sequences.
Multi-scale neural image compression encodes prediction residuals across multiple resolutions, improving coding efficiency while managing encoding complexity.
A video encoder applies drift-free filtering to independently encoded tiles, preserving parallel processing efficiency.
A 3D video encoding method reuses motion vectors from reference blocks to reduce data transmission volume.
Segmentation index and dual-thread transcoding retrieve pre-encoded segments from buffers, reducing latency for live trick-mode playback.
Allocating unique adaptive loop filter identifier ranges to subpicture groups resolves coordination bottlenecks when merging viewport-dependent streams.
A video transmission apparatus removes inter-view redundancy from packed pictures to generate sparse view data for efficient encoding.
A camera device splits frames into display and compression images to enable efficient UHD video handling.
A unified image encoding model processes depth data across multiple operations to reduce computational complexity.
A video decoder processes transformation coefficient blocks of different pictures on separate SIMD computing kernels simultaneously.
Decoding apparatus constrains chroma block partitioning to reduce worst-case data throughput while maintaining compression efficiency.
Network controller parsing logic extracts NALUs from RTP packets into GPU memory, reducing CPU involvement and processing latency.
An image decoding device derives prediction directions from mode numbers to reduce memory requirements.
A global motion temporal filtering method transforms neighboring pictures into a reference coordinate system to generate processed pixel amplitudes.
A broadcast signal transmission method embeds PVR assist information within HEVC video streams to enable trick play services.
SEI messages embed orientation syntax and quality metrics to resolve the trade-off between display accuracy and coding complexity in video processing.
A distributed video encoding system splits sequences into overlapping segments for parallel processing by worker nodes.
Segmenting rate control via separate current buffer fullness values for region of interest and non-region of interest blocks preserves visual quality.
Multi-directional intra prediction on residue blocks reduces redundancy and bit rate without increasing encoding complexity.
Variable block-size four-dimensional transforms partition light field data to eliminate depth map dependency and ensure uniform view quality.
A video encoding method selects one motion vector from reference frame pairs to compress stored data.
A binarization method splits syntax elements into most and least significant bit strings for context-adaptive coding.
Partition-based sample adaptive offset signaling reduces bit rate by exploiting spatial correlations between video blocks.
A method calculates plane-based variance from general variance and image moments to determine precise quantization parameters for image blocks.
A non-uniform reconstruction space adjusts quantization levels based on transform coefficient statistics to optimize coding rate.
Deriving temporal motion vector predictors from reference prediction units reduces data volume while maintaining high-resolution image quality.
A video encoding method segments prediction mode information into flag and angle bits to reduce code amount.