Digital Video Signal Modification TRIZ Cases

Fixed transforms can limit inter-coded block compression; deriving DCT and DST kernels from intra modes improves adaptive reconstruction.

Combining intra block copy with intra prediction helps video units improve coding efficiency while balancing prediction accuracy and processing complexity.

Triangular prediction units and motion compensation compress point cloud geometry, improving encoding efficiency for 3D media.

Virtual boundaries and luma-guided classifiers apply cross-component offsets to improve chroma coding efficiency without degrading image quality.

Subpicture and single-slice flags guide picture partitioning, helping decoders improve compression efficiency while preserving high-resolution image quality.

Reusing neighboring motion vectors in VVC affine merge mode reduces memory bandwidth and supports efficient decoder implementation.

High-resolution image transmission and storage can increase bit amounts; conditional LFNST signaling codes coefficient regions selectively to improve compression efficiency.

Selective template matching reorders expanded MMVD candidates while limiting evaluations to reduce coding complexity.

Low similarity between reference frames and current image blocks creates large residuals; rendering-selected filters build virtual references to reduce bitstream data.

A bounded POC difference and conditional MSB signaling reduce redundant bitstream information while preserving accurate image decoding.

Header-level tool signaling lets the decoder parse picture or slice information indicated for the current block, reducing video coding overhead.

Block vector candidate lists guide chroma prediction in video coding to address limited coding efficiency and performance.

Cost-based MVP reordering moves similar candidates later, reducing redundancy and processing complexity in Merge With MVD Mode coding.

Non-adjacent reconstructed samples provide tailored reference lines for sub-block intra prediction, improving accuracy while retaining shared prediction modes.

Restricted inter prediction between primary and secondary signal blocks reduces processing dependencies, supporting parallel picture encoding and decoding.

Subblock availability checks and reference motion data simplify sbTMVP calculations while improving image and video compression efficiency.

Template matching refines merge-candidate positions before list construction, improving video block match accuracy while reducing signaling overhead.

Coarse fields miss pixel movement; fine optical-flow updates improve co-located reference frames for video inter-prediction.

Shared CPB schedules reduce redundant HRD signaling in multilayer video bitstreams while supporting conformance checks across layers.

Adaptive BDPCM signaling selects luma and chroma block processing and prediction direction to reduce high-resolution image data volume.

Simple averaging can leave code amount high; mode-dependent weighting improves synthesized prediction efficiency while maintaining image quality.

Template matching can improve prediction accuracy but adds encoding complexity; AMVPMerge-specific list reordering streamlines image coding.

Gradient histograms from available neighboring blocks enable weighted DIMD and planar predictors for more accurate intra prediction.

A luma-directed cross-component filter uses decoded coefficients to adjust chroma offsets, exploiting directional correlation for better video reconstruction.

Splitting video blocks into sub-blocks lets IBC target useful regions while other areas use intra prediction, reducing processing complexity.

An encoded flag selects sub-PU or PU-level candidate lists, balancing motion prediction accuracy with decoding complexity.

Reordering geometric partitioning modes lets IBC predict video sub-partitions more precisely while improving coding efficiency.

Spreading intra prediction sub-units across encoded pictures avoids IRAP bit-rate spikes while reducing initial joining delay in video streams.

Content-adaptive selection of IBC, intra prediction, or CIBCIP balances prediction accuracy against computational complexity across video units.

Compare reference and current block costs to skip unnecessary tree splits, improving video compression efficiency and reducing bandwidth.

Rolling prediction reuses generated pixels within each block to reduce edge discontinuities and improve image and video compression.

AV1 and proposed AV2 quantization can raise lossy-mode bitrate; adaptive indices and step sizes support efficient lossless or near-lossless coding.

Picture and level data determine decoded picture buffer requirements, helping verify multilayer bitstream conformance against decoder resource limits.

Video codecs use piece-wise linear inverse mapping to reduce look-up table size, lower implementation complexity, and preserve coding gains.

Selective refinement of spatial and temporal motion candidates balances coding efficiency against processing time in advanced video coding.

Segmenting intra prediction modes into subsets lets the decoder use set and mode indexes, reducing bit usage as directions expand.

Configurable VIF and DLM limits reduce enhancement bias in VMAF scores for more accurate codec evaluation.

Preloading MPD and Representation encoding data in a scene description enables direct 3D object selection and reduces playback analysis load.

An asymmetric deblocking filter modifies unequal sample spans beside block edges, reducing visible artifacts while fitting available line-buffer resources.

Region-specific SAO and ALF parameters reduce encoder delay and memory needs while limiting artifacts in reconstructed video.

Neighboring coefficient signs guide decoding along horizontal or vertical transform skips, reducing redundant bit signaling in video blocks.

Content elements mark encoding complexity and scene transitions, guiding bitrate changes that protect important scenes and reduce playback disruptions.

Reconstructed templates near current and reference blocks derive filters that reduce distortion in fractional-motion prediction.

Fixed GPM merge ordering can overlook template matching costs; this case reorders partition candidates to improve VVC compression efficiency.

The ISP mode splits video blocks into rectangular transforms, enabling local intra prediction and more efficient coding.

Chroma filtering can trade compression quality against complexity; adaptive strengths and QP offsets improve video deblocking efficiency.

Matching-pattern analysis selects target predictions for pixel strings, improving compression despite bit-estimation misalignment.

Diagonal block partitioning and adaptive merge candidate lists improve inter prediction while limiting boundary artifacts and memory bandwidth.

Using SAD, SATD, and SSTD in a unified cost helps refine video-block coding data for more accurate distortion assessment and improved efficiency.

Fixed GPM blending widths can miss local color distributions; adaptive width selection improves block reconstruction while reducing bit usage.