Digital Video Signal Modification TRIZ Cases

Base and delta motion vectors encode direction and distance, improving inter prediction accuracy without excessive bit growth.

Boundary smoothing outside the decoding loop reduces visible region seams while preserving encoder-decoder symmetry and parallel coding compatibility.

Mixed 4×4 and 8×8 secondary transform sets adapt to intra modes and block size to improve coding efficiency with lower decoding complexity.

Limits derived-tree block splits to integer-power sub-blocks, improving transform efficiency and easing video decoder hardware complexity.

Mutually exclusive BDOF and intra prediction mixing improve block prediction while limiting processing time and circuit size.

Selective BDOF per block preserves motion vector refinement when picture resolutions match, reducing decoding resource use and coding loss.

A resilient reference picture scheme enables temporal level switching while limiting error propagation and reducing bit signaling overhead.

Adaptive decoding classifies bitstream errors and frame roles to choose concealment, replacement data, or frame dropping with less error propagation.

A cascaded mixed attention module improves video block reconstruction while reducing neural decoding and encoding complexity.

SEI message handling improves high-resolution image encoding and decoding efficiency while cutting bitstream size, storage, and transmission cost.

V-Mesh encoding cuts point cloud bandwidth and latency by structuring mesh data for efficient video-based transmission and decoding.

A CCP list derives chroma blocks from luma and selects the lowest-cost model to improve video compression and decoding efficiency.

Processing-space signaling lets receivers reverse mixed base-layer frames correctly, preserving smooth motion and backward compatibility.

V-Mesh encoding turns point clouds into depth, normal, and texture maps to cut data volume, lower latency, and ease decoding.

Adaptive cross and diagonal filter patterns improve reconstructed block filtering for diagonal gradients while preserving edges and reducing noise.

Tile and rectangular slice partitioning improves high-definition video decoding by signaling slice type and width-height data efficiently.

Template-based reference block selection cuts transmitted image data while preserving prediction accuracy for high-resolution image coding.

Weighted fusion of first and second prediction blocks improves image compression while managing motion vector derivation complexity.

Interweaving units combine independent video bitstreams into one stream while preserving legacy parsing and ISOBMFF storage compatibility.

Dynamic long-term reference frame updates use motion vectors and coding quality feedback to limit error propagation in video encoding.

A binary DM/LM flag plus fixed-length remaining-mode codes cuts chroma mode overhead and reduces video decoding complexity.

Integer-pel samples from fractional motion vectors let intra mode derivation run in parallel with motion compensation, cutting coding latency.

Projecting multiple reference samples onto a non-uniform fractional-pel grid enables one-step combined interpolation with lower complexity and higher prediction accuracy.

Subblock-wise intra-prediction improves image encoding accuracy by selecting partition types and coding order for each current block.

Compact numerator and denominator signaling in NNPFC SEI lets decoders set output picture size while cutting bitstream and storage overhead.

Flags in the picture header shift RPL and SAO signaling out of slice headers to cut redundant bits while preserving decoding flexibility.

Adaptive quantization-group sizing improves delta QP signaling for varied block tree structures, cutting bits in image encoding and decoding.

Syntax elements distinguish palette, intra, and inter decoding modes to improve high-resolution video coding efficiency without sacrificing image quality.

Multiple G-PCC tracks carry temporal scalability with less signaling overhead, enabling faster point cloud access and reconstruction.

Inverse ACT with luma mapping and chroma scaling improves 4:4:4 video decoding efficiency while preserving sharp edges and image quality.

Adaptive motion adjustment switches bidirectional prediction to unidirectional when needed, cutting bit usage and memory bandwidth in video coding.

Fusing predictors from multiple reference lines improves intra prediction accuracy while reducing residual data and coding complexity.

Multiple graph-based transform models cluster video data to cut memory and processing demands while improving coding efficiency and image quality.

Zero-out blocks and context-based last coefficient coding cut residual bit use while preserving image quality in high-resolution video.

Clustering candidate reference frames by temporal distance and similarity improves motion estimation accuracy while limiting bandwidth use.

A configurable convolution model predicts chroma from luma samples across coding tools, improving compression efficiency with lower memory use.

Unified BDOF and PROF precision and pipelines simplify decoder hardware while improving motion compensation and coding efficiency.

Derived filter coefficients combine luma and chroma prediction to cut cross-component redundancy and improve video coding efficiency.

Adaptive subblock partition candidates and coding order improve intra-prediction accuracy while limiting image encoding complexity.

Picture-header ALF parameter set identifiers reduce repeated slice signaling while preserving compression efficiency and decoded picture quality.

Priority-based spatial, temporal, and history merge lists improve motion compensation efficiency and video compression quality.

Derived quantization parameters support loop filtering in reconstructed pictures, improving decoding accuracy while reducing bitstream overhead.

Layer-specific DPB rules simplify scalable video decoding by controlling picture removal and output while preserving single-layer decoder compatibility.

Reusing filter information across video layers cuts transmitted data while preserving filtering accuracy and compression efficiency.

Non-directional intra prediction with L-shaped block partitions cuts bits for unlikely directions while preserving reconstruction accuracy.

Adapts DMVR to local illumination changes using MRSAD and selective gradient refinement, improving bi-prediction with LIC, WP, and BCW.

Weighted multi-hypothesis luma-based chroma prediction improves video compression efficiency while limiting distortion in reconstructed samples.

Motion data from previously coded blocks updates inter-prediction candidate lists to cut image data volume while preserving high-resolution quality.

By splitting CABAC syntax coding into context-coded prefixes and bypass-coded suffixes, this case reduces bin counts and decoder bottlenecks.

Adaptive smoothing or sharpening of intra prediction reference samples improves video coding efficiency while preserving image quality.