Digital Video Signal Modification TRIZ Cases

A video coding system stores redundant parameters in overhead information to reduce slice header size.

Deriving refined motion vectors by adding multiple motion vector differences to merge candidates improves geometric partition accuracy.

Switching logic selects bi-directional optical flow based on reference picture distances to reduce computational complexity.

Segmented reference sample filtering resolves the trade-off between encoding complexity and prediction precision in 3D-HEVC depth maps.

Three-stage unified processing engine calculates RD costs to resolve complexity bottlenecks in 4K HEVC SAO filtering.

A video decoder selects between DMVR and BDOF processes to reconstruct blocks efficiently.

A transform tree syntax method replaces negative flag indexes with conditional single operand statements.

Separating luma and chroma palette tables improves prediction precision while managing device complexity through dynamic mode selection.

Selective processing of coding tree units reduces computational complexity and hardware requirements while maintaining stable bit rate allocation.

Segment-wise depth coding comparison minimizes rate distortion calculations, cutting encoding time while preserving 3D-HEVC quality.

Multiple image processing circuits divide frame areas to balance data distribution across local memories.

Rounds fractional motion vectors to integer positions, reducing memory access complexity during video encoding refinement.

Encoder selects context models based on neighboring block availability and prediction modes to resolve encoding efficiency versus device complexity trade-offs.

A video encoding method splits current blocks into subblocks to reconstruct pixels using locally adjacent reference data.

Context modeling selects syntax element contexts from predefined sets based on position and value ranges.

A video decoder determines the NoOutputOfPriorPicsFlag based on chroma format and bit depth changes to manage decoded picture buffer memory.

A video coder determines reference picture availability using Picture Order Count values to select motion vectors for decoding.

Grouping samples in decoding blocks allows assigning one representative prediction value, reducing interpolation operations and encoding complexity.

Region-based chroma encoding preserves color fidelity in screen-capture content while maintaining bit rate efficiency through adaptive sampling.

A rate share operation box signals adaptation points in scalable video coding bitstreams to enable dynamic data extraction.

Adaptive NumMaxRefLayers parameters resolve the trade-off between video quality and coding complexity by constraining inter-layer dependencies.

Jointly trained neural networks replace fixed transforms with learned coefficient representations, preserving visual quality while reducing file size.

Adaptive reference sample weighting resolves the trade-off between prediction precision and computational complexity in video decoding.

A video decoding method selects affine parameter groups based on adjacent block status to reconstruct current blocks.

Grouping syntax elements by type reduces palette index redundancy and improves coding efficiency.

A lossless video coding method selects optimal per-block quantization values to minimize encoded bitstream size.

Limiting regular bins in entropy coding switches to bypass mode when the budget is exhausted, maintaining bitstream parsing throughput.

A video encoding system segments blocks into spatial portions to apply specific intra-prediction modes.

Mapping module transforms matching relationship parameters before entropy coding to reduce bitstream data volume caused by frequent large integers.

A chroma block transform method selects Low-Frequency Non-Separable Transform matrices based on luma intra prediction modes.

Computing rate-distortion costs for block splitting decisions using pre-assigned quantization parameters.

A multimedia device adjusts video stream bitrates based on detected screen size changes to optimize resource allocation.

A decoding apparatus parses Sample Adaptive Offset flags to determine picture or slice level application for reconstructed image blocks.

A motion vector decoding unit selects candidate blocks from neighboring regions based on matching motion vector numbers and reference indices.

A reduced inverse transform matrix derives residual samples from quantized coefficients to enhance image coding efficiency.

Stereoscopic interleaved compression encodes alternating half-frames to halve bandwidth requirements while maintaining video quality.

An image decoding apparatus applies adaptive filtering to restore decoded image quality using computed filter parameters.

A video encoding method determines target motion vectors at specific resolutions to improve processing accuracy.

A modified quantizer extends the index range using an offset value to retrieve precise step sizes from a lookup table.

A video encoding method groups candidate zones to minimize reconstruction error and improve prediction accuracy.

A neural network video coding method updates model parameters using prediction error blocks to refine subsequent encoding predictions.

Deriving prediction values from adjacent block samples improves intra-prediction accuracy while reducing residual signal data for high-resolution images.

Constrained offset compensation selectively applies sample adaptive offset and adaptive loop filters to reconstructed video blocks.

Dynamic tile size restrictions adapt to picture dimensions, reducing line buffer requirements while maintaining VVC decoding support.

A video coder harmonizes deblocking conditions for adjacent blocks using specific coding modes.

Adaptive block encoding constructs larger blocks from multiple macroblocks to optimize rate-distortion criteria.

A multi-standard bin decoder merges decoding logic for H.264, HEVC, and AVS into a single unit.

Inverse rearrangement of coefficient matrices concentrates non-zero values in upper-left regions, reducing the scan region coefficient coding area.