Digital Video Signal Modification TRIZ Cases

Combining bilateral and CCSAO in-loop filters cuts chroma ringing artifacts while improving video coding efficiency and quality.

Bitstream-defined SEI message priority fixes decoder processing order to keep video rendering consistent with creative intent.

Slice-type-aware constraint flags avoid unnecessary intra-slice restrictions, improving VVC decoding efficiency and prediction handling.

Subdivision-based quantization lets video decoders tune luma and chroma blocks separately, improving compression fidelity without excessive complexity.

PDPC-based color block prediction cuts intra prediction complexity by signaling residuals, helping preserve coding performance and smoother playback.

Separate blending masks for inter-intra and inter-inter prediction improve block reconstruction accuracy and reduce decoded video artifacts.

A LUT replaces floating-point division with integer math in DIMD and TIMD decoding, cutting complexity while preserving derivation accuracy.

Template-based intra mode derivation uses decoder-side flags and template selection to improve video compression while preserving quality.

Spatial, temporal, and history-based motion candidates cut video decoding load while preserving inter prediction efficiency.

Multiple pixel lines, sub-block prediction, and selective filtering improve intra prediction accuracy without excessive decoding overhead.

Section-level subdivision and delta QP decoding improve video block quality while limiting decoding complexity for luma and chroma regions.

Context selection from intra mode, block size, and primary transform type improves secondary transform index coding and video compression.

Deriving weight indices for affine merge bi-prediction improves motion prediction and compression efficiency in high-resolution video decoding.

Bitstream-guided neural post-processing adds picture downsampling to video coding, expanding NNPF use beyond upsampling.

Blending adjacent and non-adjacent reference lines improves intra-prediction for non-square video blocks, cutting bit rates and complexity.

Fused cross-component predictions for video blocks improve coding efficiency and effectiveness beyond single-prediction video coding.

Block-level GBI and weighted prediction improve video compression by tuning predictor weights and limiting complexity where precision matters.

Grouped candidate matching blocks improve Intra TMP prediction accuracy by signaling subgroup indexes and fusing blocks during decoding.

Selective CCP candidate list use based on chroma and collocated luma coding information improves video compression without unnecessary processing overhead.

Implicitly deriving the last block's prediction mode cuts video bitstream signaling overhead while preserving accurate decoding in recursive intra regions.

Morton-code indexing narrows nearest-neighbor search in inter prediction, improving point cloud attribute prediction accuracy and codec efficiency.

Fused IntraTMP and non-template intra prediction improves current-block accuracy while limiting syntax overhead in video coding.

Palette tables and per-pixel indices cut high-resolution video data volume while preserving image quality and improving coding efficiency.

Reference units from neighboring frames predict point cloud attributes, cutting inter-frame redundancy and improving encoding efficiency.

Partitioned coding blocks and weighted merge-candidate prediction improve inter-prediction efficiency for high-definition video compression.

Machine learning predicts video quality from bitstream and pixel features, avoiding full decoding while guiding encoding profiles for streaming.

Hash-based block matching cuts encoder workload while improving motion vector selection and scene change detection in screen content.

Refined and non-refined affine candidate lists improve prediction for zoom, rotation, and perspective motion while limiting coding complexity.

Local illumination compensation reuses coded-unit parameters in intra TMP fusion to improve video coding efficiency and reconstruction quality.

Parameterizing arithmetic coder update rates with A, B, C, and E values improves video coding efficiency beyond fixed constants.

Zero-shot posterior sampling guides each new measurement by uncertainty, improving sparse reconstruction across domains without task-specific training.

A 240x135 block representation with 64-bit codewords enables real-time 1080p decoding on mobile devices with lower energy use and fewer color artifacts.

Predictive configuration records reuse template parameter sets and send only changes, cutting codec bandwidth overhead while preserving decoding accuracy.

Adaptive reference samples in planar intra prediction improve block prediction accuracy and video compression without excessive mode complexity.

Sub-block motion information keeps predicted motion offsets closer to real trajectories, improving video coding accuracy and efficiency.

Combining intra TMP candidates with other coding tools improves video coding efficiency while preserving prediction performance.

A configurable neural post-processing filter uses bitstream parameters to generate different picture types without adding separate video functions.

Temporal BV candidates and inherited IBC-LIC flags improve video block conversion efficiency by reusing collocated picture data.

Multiple linear models improve intra block copy prediction under illumination changes, cutting residual data and bit overhead.

Boundary blocks are recursively split to fit image edges, improving compression efficiency and use of neighboring block information.

Explicitly signaling slice heights within tiles cuts bitstream overhead while preserving efficient high-resolution video compression.

Motion-guided reference blocks help a neural network filter reconstructed images with lower error across varied resolutions and content.

When RTP packets are lost or late, later video slices switch to I-slices to stop corruption spread and keep ultra-low-latency playback decodable.

Extended reference pixels and continuous angle discretization improve DIMD mode selection accuracy and video compression efficiency.

Boundary-strength deblocking for IBC and TMP coded blocks reduces artifacts while preserving video compression efficiency and bandwidth use.

Selective co-located block storage cuts colPic memory capacity and bandwidth while preserving temporal motion vector prediction accuracy.

A flag-based resampling size indication lets decoders adapt to changing picture resolutions with lower reference picture resampling complexity.

Selective intraTMP syntax parsing enables fusion-based block prediction, improving video coding accuracy without unnecessary decoding overhead.

Multiple iterative BDOF rounds refine video block sample values and motion vectors to improve coding quality without excessive complexity.

Multiple reference blocks are fused with adaptive weights to improve video block prediction under illumination changes and raise coding efficiency.