Digital Video Signal Modification TRIZ Cases

An image decoding apparatus extracts coded data based on target layer IDs and temporal constraints to preserve parameter sets for complete reconstruction.

A decoding apparatus applies a single truncated unary binarization to determine horizontal and vertical transform types for video blocks.

Adaptive bit stream management encodes frames with distinct parameters and interleaves transmission to maintain reference frames during packet loss.

Unified encoding ladder merges H.264 and HEVC streams to resolve redundancy in separate codec ladders while optimizing rendition allocation.

Partitioning video streams into tiled structures with signaling metadata enables independent view decoding, reducing decoder complexity and energy consumption.

A video coding system segments frames into tiles and slices to enable parallel processing of digital media.

An encoder switches to lower resolution algorithms to maintain processing speed.

A video encoder derives reference samples by projecting interpolated values from a perpendicular line onto the primary prediction axis.

Region-based template matching partitions search windows into regions to reduce decoder run-time while maintaining coding efficiency.

A video encoder uses receiver feedback to trigger partial intra refreshes for error propagation termination.

An adaptive Perceptual Quantizer adjusts quantization values based on video luminance.

Partitioning image blocks into sub-blocks allows independent table selection, reducing signaling bits while maintaining encoding flexibility.

Applying an affine model to boundary sample subsets reduces prediction errors and improves rate-distortion tradeoffs.

Extends Rice parameter dynamic range to 0-63 for transform skip residual coding.

A video coding method divides image blocks into sub-blocks with independent control vectors to capture complex motion patterns.

An adaptive video monitoring system adjusts frame rate and resolution to sustain image quality during network congestion.

A video decoder parses an ordered spatial neighborhood list to locate available motion information for generating predictor candidates.

A decoding device parses a single sign flag to determine if residual coefficients share the same sign, streamlining coefficient derivation.

Decoder-side derivation of intra prediction modes reduces coding bits while maintaining quality by constructing tailored candidate lists.

A video decoding apparatus generates an additional merge candidate by averaging existing list entries to configure the prediction pool.

Adjusting multi-type tree hierarchy depth expands reachable coding nodes, resolving compression efficiency limits in video encoding.

A video processing system selects filter coefficients based on reference picture size differences to maintain fractional accuracy.

Conditional context variable initialization reduces processing time and resource consumption by eliminating redundant steps during parallel video decoding.

A transform block divided into sub-blocks uses multiple coding passes to entropy encode coefficients.

Adapting basis functions to border shapes minimizes ringing artefacts while maintaining high compression efficiency.

General constraint flags configure video coding tools based on profile tier levels, resolving the trade-off between decoding accuracy and device complexity.

Segmented identifier ranges in a base track resolve APS collisions during subpicture merging, ensuring correct VVC decoding.

Adaptive precision extension adjusts pixel value bit depth based on local dynamic range, reducing hardware complexity while maintaining measurement precision.

A multi-level quantizer applies distinct precision levels to video block coefficients for adaptive compression.

A middle point position coding method partitions mesh vertices into groups to encode volumetric data via forward prediction residuals.

A display system modifies non-encoded images into 3D format using pixel arrangement changes.

Local search refinement of motion candidates reduces bitstream size by eliminating explicit signaling.

Subblock affine motion models refine prediction accuracy while managing computational complexity.

Segmenting transform matrices into encoded vectors lowers bitrate overhead while maintaining picture quality.

Marking candidate coding blocks for merge estimation based on splitting depth and location within a coding tree unit.

Adaptive sub-block transform units reduce residual signal data volume, resolving the trade-off between compression efficiency and processing complexity.

A 2DHV interpolation filter selects vertical and horizontal filters to improve compression efficiency by addressing fractional pixel motion.

A multi-view video codec uses data stream parameter sets to verify reference picture availability for residual prediction.

A video signal processing method derives inter-motion vectors from temporal neighboring blocks to enhance prediction accuracy.

A video decoder reconstructs chroma coding blocks with a width greater than two to maintain processing efficiency.

Mode-dependent subsampling intra prediction reduces residual energy by interpolating missing pixels, improving coding efficiency.

Adapting motion vector candidate reordering to reference picture size differences improves coding efficiency while maintaining codec consistency.

Adaptive wavefront split minimizes visual artifacts by varying split location based on frame quantization and content complexity.

Depth values guide adaptive deblocking filter strength to reduce block noise while preserving texture in fine blocks.

Content-based metadata classifies video frames into static, scroll, and dirty regions to reduce memory bandwidth consumption during motion estimation.

Multi-level significance coding derives contexts from neighboring sub-blocks to reduce bit rates while managing device complexity.

Encoder and decoder infer filtering parameters from motion compensated prediction samples to reduce residual energy.

Superblock partitioning adjusts motion vector precision to minimize bit rate variability and bandwidth waste.