Digital Video Signal Modification TRIZ Cases

Unified flexible coefficient position syntax simplifies video decoding by inferring significant coefficient indices from transform context.

A hybrid video encoder divides frames into horizontal sections for parallel processing across dedicated hardware and software units.

Aligns motion vector resolutions through dynamic shifting and clipping, resolving mismatch errors that degrade temporal prediction accuracy.

A video codec shifts a search window within in-chip memory to retrieve macroblock data without frequent outer memory access.

Texture-guided upsampling of auxiliary information maps selects reference pixels based on associated texture values to calculate updated pixel data.

A unified scan order groups transform coefficients, reducing memory requirements and simplifying data fetching processes.

Encapsulating video bit streams with reference image information resolves bandwidth and complexity trade-offs in AVS video processing.

An encoder adjusts frame-level quantization parameters using coding tree unit processing to maintain consistent output bitrates.

Localized frame delta encoding reduces pixel dynamic range and data rate, preserving small point source signals for threat detection reliability.

Segmenting blocks into sub-blocks and applying affine merge modes to improve prediction accuracy while managing computational complexity.

Partitioning video frames into sub-pictures with distinct layer associations enables selective decoding that reduces bandwidth and storage requirements.

Segmenting blocks into regions applies specific linear models to improve accuracy while limiting computational complexity.

A video decoder selects transform kernels using matrix-based intra prediction parameters to reduce computational complexity.

Dynamic insertion of synchronization predicted video frames prevents error drift by avoiding references to lost data in the bitstream.

Disabling smallest chroma intra prediction units for 4:4:4 formats allows smaller chroma blocks, resolving throughput and quality trade-offs.

Dictionary modes predict screen pixels from stored values, reducing compression artifacts in repetitive content.

Selective extraction of transformation coefficient data from neighboring tiles suppresses image degradation at boundaries while minimizing encoded data volume.

Syntax structures indicate coded region completion within elementary bitstreams to enable immediate decoder processing.

A low complexity large transform method reduces computational requirements in video encoders.

A filter determination unit adjusts strong filter thresholds based on prediction mode parameters to control block noise suppression.

Selective blending of lowermost frequency layers mitigates strobing artifacts while preserving high image quality across other frame frequencies.

Partitioning blocks via SDIP or SBT aligns internal boundaries with de-blocking grids, reducing artifacts while managing computational complexity.

Multistage motion vector prediction reduces computational complexity by segmenting search zones and applying adaptive predictor selection.

Segment video streams into adaptive partitions to resolve coding efficiency versus blocking artifacts trade-offs.

Grouping video partitions by content similarity assigns consistent coding parameters, reducing artifact variability across similar regions.

A spatial adaptive video streaming system merges high resolution segments with low resolution streams to match viewer gaze direction.

A moving image encoding device adjusts quantization parameters based on spatial position within equirectangular projection frames to optimize block noise reduction.

A reference list setting unit inserts layer-direction images into temporal lists to optimize coding efficiency.

Classifying point clouds by height reduces signaling overhead and processing complexity by applying distinct motion vectors to ground versus object points.

Dynamically adjusts transform unit sizes via binary splitting when adaptive color transform is enabled, reducing temporary buffer requirements.

A CNN filter fuses multiple color components and auxiliary data to perform in-loop filtering, reducing bit rates while improving picture quality.

Independent section encoding breaks neighbor dependencies, reducing synchronization points and improving GPU utilization.

Reconstructing the quantization parameter based on coding unit size reduces bits required to transmit parameters while improving image quality.

Pre-processing video data via base and enhancement layer processors maps bit-depth and color formats, reducing bandwidth and infrastructure costs.

A data compression tool uses inter-block prediction to compute residual values and entropy encode quantized data.

A video encoding method selects full or downsampled processing manners based on frame parameters to adjust resolution.

A video compression device generates predictive pixel values using local decode pixels and original image pixels as references for efficient mode selection.

A motion estimation unit adjusts search ranges based on z-axis data to improve video encoding speed.

A video encoder stores intra-prediction coding costs for each permitted coding unit in a hierarchy to optimize partition selection.

Segment directional intra prediction modes into conventional and wide-angular groups to reduce signaling complexity.

Gradient shifting operations reduce bitdepth requirements in bi-directional optical flow calculations while maintaining prediction accuracy.

A video coding unit split rule adapts to bin string data for efficient processing.

Adaptive horizontal wraparound motion compensation resolves fixed offset limitations to improve compression performance and reduce seam artifacts.

A moving picture coding apparatus generates combined merge block candidates by copying motion vectors and reference picture index values from neighbor blocks.

Applying single sub-DPB parameter sets to all layers reduces signaling redundancy and optimizes memory usage in multi-layer video decoding.

A prediction image generation device applies weighted average filter coefficients to motion vector applied images.

A processing system precomputes static and dynamic field of view datasets to stream only requested video segments.

A subsequence-based encoding application generates a convex hull of encode points to select resolution and rate control values for media segments.

A video motion estimation method divides image frames into distinct prediction unit types to apply specialized search algorithms for each category.