Digital Video Signal Modification TRIZ Cases

Selecting inverse transforms by non-zero coefficient count cuts video decoding complexity while preserving coding performance for high-resolution content.

Using in-loop filtered reconstructed pixels as the reference area improves intra prediction accuracy and coding efficiency in video encoding.

Temporal layer signaling in G-PCC supports scalable point cloud decoding, lowering latency and complexity for smoother 3D playback.

Current-state dependent quantization adjusts transform coefficient reconstruction to reduce quantization error and improve decoded video quality.

Weighted synthesis of block copy and intra prediction uses adjacent block data to cut code amount while preserving image quality.

Combining planar and directional intra modes for video blocks reduces redundancy and improves encoding and decoding efficiency.

Position-based overwrite checks in intra block copy preserve valid reference sub-blocks, improving video decoding efficiency and memory use.

Weighted blending of multiple intra-prediction modes improves flat-area image compression while limiting transmission and storage costs.

Buffered scaling factors tied to temporal layer IDs keep adaptive loop filtering consistent when scalable video streams arrive with missing layers.

Coordinate-based OOB checks and mask derivation handle wrap-around and reference picture resampling with lower decoding workload.

Adaptive interpolation filtering improves intra prediction accuracy and compression efficiency for high-resolution video while managing encoding complexity.

Multiple QPs within partitioned LCUs improve rate control granularity and visual quality while preserving large-block coding efficiency.

Combined inter-intra prediction enhancement improves video coding efficiency by refining merge candidates and adaptively selecting prediction modes.

Cost-based motion candidate reordering with template and bilateral matching improves inter prediction accuracy while limiting coding overhead.

Signals virtual boundary positions and filter use in the bitstream to curb boundary blurring while preserving video compression efficiency.

Compact MIP mode signaling cuts VVC intra prediction complexity, storage demand, and decode time while preserving luma and chroma prediction.

Template-matched and merge-refined motion vectors improve implicit geometric partitioning, boosting video coding efficiency with better blending matrices.

Multiple DV predictors with block-level offsets improve subblock temporal motion prediction and reduce video coding redundancy.

Alignment-based position vector coding cuts bit cost in text-rich video blocks while preserving encoding accuracy and standard decoding.

Filtered reconstructed references enable skip intra prediction that avoids residual coding while reducing blocking artifacts and noise.

Adaptive scan order and neighborhood-based context modeling improve significance map coding for large transform coefficient blocks.

BDOF prediction is conditioned on actual frame time distances and shared gradient processing to improve decoding accuracy without excess complexity.

Adaptive interpolation filtering uses adjacent reconstructed pixels to improve intra prediction accuracy and lower video bandwidth demand.

Neighbor-template distortion minimization selects seed intra modes and block splits to improve coding accuracy with lower signaling overhead.

Purpose-aware quantization adapts image coding for human viewing or AI tasks, improving machine perception and bitstream efficiency.

A neural codec proxy enables end-to-end training of pre- and post-processing ANNs to improve perceptual quality without multi-pass encoding.

Machine learning adjusts GOP size from frame statistics to cut bitrate and visual artifacts across static and high-motion video segments.

Conditional bitstream flags enable inter-component prediction only when required reference layers exist, improving 3D decoding accuracy.

A super coding block scheme combines NxN CTUs and recursive quadtree partitioning to improve compression efficiency and cut bandwidth use.

Gradient histograms from reconstructed neighbors let the decoder derive intra mode splits for directional blocks, improving compression with less signaling.

Averaging max and min luma samples builds a cross-component linear model that predicts chroma blocks with less video data and preserved quality.

Quadratic high-order intra prediction improves non-linear texture coding by signaling primary and extended angular modes in the bitstream.

Conditional filter selection improves CIIP and MHP block prediction accuracy while limiting artifacts and unnecessary decoding complexity.

Shared temporal merge candidates let neighboring prediction blocks reuse motion information for parallel processing with lower coding complexity.

Selective in-loop filtering across virtual boundaries improves video compression and visual quality while limiting hardware resource use.

Interpolation from limited encoded subsequences estimates media metrics for more encoding points, cutting encoding time and compute load.

First-pass encoding selects only relevant frames from each shot, cutting processing time and storage while preserving parameter accuracy.

Adaptive neighbor template sizing improves TIMD intra prediction by minimizing distortion for blocks with different dimensions.

Synchronous multi-branch tree division uses density-based occupancy prediction to improve point cloud inter coding accuracy and reduce bitstream size.

Selective MTS index parsing and zeroed block regions improve transform coding efficiency for high-resolution image and video compression.

Neighboring coding units predict current CU data, so only mismatch flags and differences are sent to reduce redundant video signaling.

A second motion vector is derived from a first vector and candidate distances to cut motion estimation, memory fetches, and bitstream overhead.

Optical-flow-based block sizing refines affine merge and motion vector prediction to improve video decoding efficiency and bitstream use.

Pixel-wise reference-image similarity guides residual rearrangement in transform skip mode to improve entropy encoding efficiency.

Two-packet SEI referencing cuts redundant message transmission in VVC and HEVC bitstreams while preserving flexible picture-level application.

Temporal sublayer timing messages use scale factors to preserve picture order accuracy while avoiding per-picture signaling overhead.

Clear SEI removal, subpicture indexing, and parameter rewriting rules help produce a conforming VVC sub-bitstream with fewer extraction inconsistencies.

Different bit rate points trigger different run-length coding choices, reducing attribute redundancy and improving point cloud compression.

Critical-frame filter reuse cuts VVC adaptive loop filtering complexity and latency while preserving video quality in hardware-friendly encoding.

Adaptive modulation of mid-to-high frequency amplitudes cuts video data size while preserving detail and reducing block and ringing noise.