Digital Video Signal Modification TRIZ Cases

Hierarchical APS signaling of scaling list data cuts video coding overhead while preserving visual quality and limiting memory demands.

Selective BDPCM direction signaling improves intra block coding efficiency, cutting bitstream size and storage cost while preserving image quality.

Synchronizing HistValue with StatCoeff updates at transform unit boundaries improves Rice parameter derivation, coding efficiency, and video quality.

Multiple surrounding templates derive and blend intra predictors to cut mode signaling overhead while improving block prediction accuracy.

Weighted template partitioning derives multiple prediction modes for current blocks, improving video compression and bitstream transmission efficiency.

Boundary filtering on template and matching blocks improves intra prediction accuracy while limiting overhead from extra mode signaling.

A flag-controlled decoding order lets VVC support interlaced leading pictures without rigid IRAP sequencing, improving coding efficiency.

A residual transformer in-loop filter uses QP-guided feature extraction to reduce blocking, blurring, and banding with balanced complexity.

Using MIP parameters to choose LFNST kernels makes VVC intra prediction more adaptable and improves encoding, decoding, and picture quality.

Flag-based subpicture and picture header signaling cuts bitstream overhead while preserving image reconstruction in high-resolution encoding.

Conditional signaling of the second triangle merge index cuts bitstream overhead and decoding complexity in triangle-based video coding.

APS ID syntax is moved to the start of picture and slice headers, cutting VVC parsing overhead while preserving coding performance.

Placing APS ID syntax at the start of VVC picture and slice headers reduces parsing overhead and supports efficient unused APS ID tracking.

Candidate reference picture lists signaled in parameter sets cut video bandwidth use while simplifying slice decoding.

Mode-specific cos-windowed sinc filters improve motion compensation for uni- and bi-prediction, boosting coding efficiency and decoding accuracy.

Adaptive split mode reduction at picture boundaries cuts signaling bits while preserving flexible multi-tree block partitioning.

Encoding only header differences between content fragments cuts overhead, bandwidth use, and latency in low-bitrate streaming.

A stored first motion vector lets inter prediction proceed before second-vector derivation finishes, cutting video encoding delay.

Adaptive CCALF uses luma-guided chroma filtering and selective signaling to improve coding accuracy, compression efficiency, and picture quality.

Vector operations on neighboring block directions build a more accurate intra prediction mode set while limiting bitstream overhead.

TSRC flag signaling cuts unnecessary residual bits in image decoding, improving coding efficiency and lowering transmission and storage costs.

Using MIP parameters to select LFNST kernels improves transform flexibility for intra blocks, boosting coding efficiency and picture quality.

Reduced-dimension NSPT kernels improve image block decoding efficiency while limiting transform complexity and signaling overhead.

Flag-based subpicture and picture header signaling cuts redundant slice-header data, improving image coding efficiency and bitstream transmission.

Frame-table sync-point lookup and resolution-based codec timing help output requested video frames faster, even with variable fps.

Mapping intra prediction modes to non-separable transform sets improves image decoding efficiency while limiting transform processing complexity.

Reduced-dimension NSPT kernels improve image block decoding efficiency while limiting transform complexity and bitstream signaling overhead.

Splitting the HDR luma mapping into a stretched function and scaling value avoids clipping artifacts and improves HDR reconstruction from LDR video.

Reducing neighboring samples before affine intra prediction cuts multiplications, lowering video coding power use while preserving compression efficiency.

Neighbor-based coding unit prediction cuts redundant split information in low-bitrate B-frame video coding to improve compression efficiency.

Multiple reference lines and nearest-sample replacement keep intra-prediction complete while limiting complexity in high-resolution video processing.

Shifting CTU grid boundaries toward spatial activity transitions reduces small CUs and improves video encoding and decoding efficiency.

Boundary strength from chroma-related parameters guides deblocking at decoded block edges, reducing color block distortion and improving image quality.

Random access is achieved without intra pictures by partially reconstructing coded regions, cutting bit rate while preserving decoding efficiency.

Partitioning prediction units into transform units improves intra decoding efficiency and cuts video bit use for lower transmission and storage costs.

Jointly signaling block partitioning across views cuts multiview video redundancy and improves bitrate efficiency through disparity-based coding.

Reordering GPM split modes by distortion cost and a predefined order table improves coding efficiency while limiting decoding complexity.

When chroma or luma reference weights differ, the decoder disables BDOF and DMVR to avoid suboptimal block reconstruction and wasted processing.

Switching between conventional and neural decoding by temporal layer improves random access video coding across large and small motion.

Average luma from neighboring samples adjusts QP offsets to improve image compression efficiency while preserving reconstructed picture quality.

Entropy-coded sign correction improves transform coefficient prediction, cutting video bit rate while preserving decoded image quality.

LUT-based motion candidate ordering improves high-resolution video coding efficiency by adapting candidate derivation while limiting processing complexity.

Adds reference pictures from other views to improve block prediction accuracy and encoding efficiency in multiview image coding.

Adjacent-block quantization prediction in tree-partitioned video coding cuts differential QP bits and improves coding efficiency.

Enabled flags constrain temporal motion vector predictors by slice type, cutting decoding complexity while preserving video coding efficiency.

Anchor-based luma differencing refines chroma samples to improve video coding efficiency and image quality with controlled filtering overhead.

Clipping affine and sub-block motion vectors by bit-depth range prevents out-of-range prediction errors while preserving video coding efficiency.

Neighboring block edge directions narrow intra-frame candidates, cutting prediction search complexity while preserving real-time video encoding.

Limiting chroma transform block size by chroma sampling ratio cuts encoding complexity while preserving image quality and bitstream efficiency.

Adaptive inverse quantization tied to transform skip curbs coding information loss and preserves reversible image decoding.