Digital Video Signal Modification TRIZ Cases

Adaptive AC scaling in RAHT improves point cloud inter prediction by matching real correlation and limiting unnecessary bitstream overhead.

Patch-level transforms in multi-view video atlases cut decoding complexity and bandwidth while preserving intermediate view synthesis quality.

Template-matching prediction cuts bitstream overhead and data volume while preserving image quality in high-resolution image coding.

By combining clipped luma CCALF and chroma ALF coefficients, this case improves coding efficiency and image quality with lower circuit load.

Regression-based neighboring-block prediction derives sub-block affine motion vectors more accurately while lowering video coding bandwidth and compute load.

Neighbor-derived compensation in geometry-partitioned prediction improves coding accuracy while lowering bitstream cost for high-resolution images.

Native MSE extensions parse DASH and CMAF inband events into timed buffers for accurate dispatch during media playback.

Frequency damping in spectral-domain texture synthesis cuts video coding overhead while preserving subjective texture quality.

Deriving weight index information from affine merge candidates improves bi-prediction accuracy and boosts image/video compression efficiency.

Polynomial luminance and motion fitting reconstructs complex video textures with fewer transmitted bits while preserving perceived quality.

Grouping coefficients into buffers and interleaving bit arrays cuts JPEG XS encoding and decoding time for real-time video streams.

Temporal layer metadata is moved into the encapsulated video file so devices can read frame hierarchy without bitstream decoding, cutting compute load.

Embedded mapping data and region flags let decoders locate substitute image regions in compliant video bitstreams with better storage and transmission efficiency.

Multi-scale macro block energy maps guide adaptive quantization, improving video encoding in complex scenes while reducing blocking artifacts.

When luma modes are unavailable, direct mode is set by default to streamline chroma prediction and improve video compression efficiency.

Selecting either DMVR or LIC for bi-predicted blocks cuts video coding complexity while preserving prediction accuracy.

Preserving the DC component in inter prediction blocks lets non-separable transforms handle luminance shifts and improve coding efficiency.

Precinct-level wavelet coding balances lower bit rate with video quality by selecting local modes and allocating rates across transformed bands.

Combined inter and intra prediction uses DIMD and TIMD to cut signaling overhead and improve prediction accuracy in high-resolution video decoding.

Dynamic rate-distortion analysis selects bitrate ladders by video segment to avoid irregular quality gaps and reduce encoding waste.

Deriving bidirectional weight indexes from affine merge control points improves motion prediction accuracy while limiting video coding complexity.

Synthetic outliers generated from normal images help train and validate anomaly detection models when labeled anomalies are scarce.

Averaged motion vectors and linked correction data expand merge candidates to improve video coding efficiency and decoding speed.

Using one upper reference line at largest coding unit boundaries and N lines elsewhere cuts video codec buffer size while preserving prediction accuracy.

Reverse diagonal scanning derives context models from neighboring coefficient groups to improve non-separable transform coding without breaking parallel parsing.

Three affine merge candidate paths cut video coding load by reusing neighboring motion models and fixing some control-point vectors to (0, 0).

Tile-based image coding uses quality-level logs and derived layers to enable progressive decoding and selective transmission without full bitstream parsing.

Weighted boundary blending between triangular block partitions improves video prediction accuracy while keeping encoding and decoding efficient.

Non-adjacent block scanning builds better affine merge motion vector candidates, cutting motion data overhead and improving video compression.

Simplified LMCS index derivation, linear mapping, and selective filtering cut coding complexity while improving image and video compression.

By inferring offset signs from edge categories and thresholds, this case cuts bitstream overhead and improves video coding efficiency.

Real-time link monitoring adjusts UAV video resolution to match wireless capacity and keep ground-station viewing continuous.

Synchronizing HistValue and StatCoeff updates at TU boundaries improves Rice parameter accuracy and video compression efficiency.

Hierarchical APS signaling separates scaling list parsing from SPS and PPS to reduce coding overhead and decoder memory requirements.

When luma modes are unavailable, direct mode is set by default to improve chroma prediction and video decoding efficiency.

Constraining weighted prediction factors and separating weight flags cuts slice header parsing overhead for real-time video decoding.

Default direct-mode assignment for chroma blocks improves prediction and compression when corresponding luma encoding modes are unavailable.

Conditional syntax signaling switches among palette, intra, and inter modes to improve high-resolution video decoding efficiency.

Multiple filter hypotheses and adaptive weighting improve intra block copy prediction accuracy, raising video coding efficiency at lower bit rates.

Adaptive offset vectors refine merge-based motion prediction to improve video compression efficiency while limiting derivation complexity.

Gradient-based chroma mode derivation across multiple reference lines improves intra prediction accuracy, coding efficiency, and video quality.

SEI signaling defines the order of neural-network and conventional video post-filters, improving quality without excessive signaling complexity.

A compact LUT plus wide-angle mapping improves chroma intra prediction for asymmetric subsampling while preserving picture quality.

Content-based gradient analysis derives IPM and LFNST modes more accurately than split lines, improving video coding efficiency.

Reusing luma-derived geometric partitions for chroma improves irregular object representation, motion prediction, and video decoding quality.

A lookup table lets the decoder reconstruct sub-block partition parameters from an indicator, cutting bitstream data while preserving picture quality.

Embedding DU HRD flags and parameters in SEI messages removes VPS dependency, reducing parsing errors and signaling overhead in video coding.

Targets chroma compensation in screen captured video by deriving scale and offset parameters to improve coding efficiency and video quality.

Sorting transform coefficient signs by QIdx and extending the transform-block region cuts VVC sign bits while preserving prediction accuracy.

Block-based CIIP selection improves video coding efficiency while reducing bandwidth, line buffer use, and computational load.