Digital Video Signal Modification TRIZ Cases

Neighbor-based MPM lists include common angular modes to reduce coding bits.

This case orders POC differences for reference pictures, simplifying list construction while reducing image transmission overhead.

This image coding case uses multi-reference lines and weighted samples to improve prediction while limiting data volume.

Luma-guided CCALF adapts chroma filtering across coding units, improving visual quality while reducing image transmission and storage costs.

This case uses signal subsets and tailored neural networks to improve reconstructed sound or visual content without excessive complexity.

Adjacent block sizes guide selective evaluation in recursive video encoding, reducing processing load without sacrificing coding efficiency.

This image coding case balances channel output rates and fallback modes to reduce buffer size and hardware cost.

This case organizes POC differences around previous and subsequent pictures to simplify reference list construction and inter prediction.

This case derives intra-prediction modes from neighboring and non-neighboring blocks to reduce video data transmission and storage costs.

A sequence flag conditionally signals picture headers in slice syntax, reducing redundant bitrate use while supporting VVC decoding.

Parallel frame decoding uses ordered memory access to balance bandwidth, reduce bus burden, and prevent access conflicts.

This video coding case combines split-line block prediction with affine candidates to improve decoding accuracy for complex motion.

This case uses reconstructed luma extremes and a cross-component linear model to improve chroma prediction efficiency.

Fixed-order Exp-Golomb and fixed-length coding reduce ALF signaling complexity.

This case groups merge candidates and reorders them by template matching cost to improve prediction and reduce video data redundancy.

This video decoding case uses configurable filter shapes and offset values to limit tap count while improving compression efficiency.

Non-intersecting displacement maps simplify 3D multilayer rendering and reduce transmission costs.

Boundary-region compensation improves CIIP prediction accuracy and compression.

This video reconstruction approach selectively applies shared secondary transforms to 4×4 blocks, reducing processing complexity.

This case derives residuals in subblocks and filters their boundaries to balance compression performance with decoding complexity.

This case uses horizontal or vertical block-vector search bias and staged partitioning to improve screen-capture rate-distortion coding.

This case uses sub-block-specific reference line selection and weighted samples to improve high-resolution intra prediction efficiency.

Structured VVC decoder records add sublayer parameters, byte alignment, and PTL data to clarify content selection and decoding.

The case adds compact syntax elements for neural post-filter strength and auxiliary input signaling, improving video decoding quality.

Grouped volumetric representations support adaptive streaming for AR, VR, and MR.

Clipping and fixed-point formatting preserve motion-vector precision while reducing memory needs and computational complexity.

Temporal and spatial redundancy analysis guides down-sampling before encoding to improve machine-vision transmission and storage efficiency.

Dependent quantization complicates entropy coding; adaptive flag coding preserves efficiency.

Neighboring-block candidates and predetermined zero vectors improve motion prediction and bitstream coding for stationary image regions.

An independent macroblock row or column is encoded first, enabling parallel intra-coding and decoding while retaining prediction quality.

This case uses encoded wrap-around offsets and minimum coding block size to improve luma prediction signaling in video decoding.

This case sends essential luminance and chromaticity data through SEI messages to simplify HDR and WCG display mapping.

This image coding approach derives transposed matrices for rectangular blocks, reducing matrix code amount while preserving image quality.

The case separates entropy slices and initializes contexts independently to speed decoding while limiting memory needs.

Partial-block coefficient flags streamline image coding for higher compression efficiency.

Adaptive chroma quantization limits code growth when transforms are skipped.

Universal matrices quantize rectangular VVC sub-blocks while reducing matrix code amount.

This video coding case combines luma CCALF and chroma ALF coefficients to improve chroma quality while managing filtering complexity.

This coding case stores only needed co-located motion vectors, reducing memory capacity and bandwidth while preserving prediction accuracy.

This case derives prediction parameters from one color block to code another, reducing image data volume for transmission and storage.

This case uses parser-friendly ISOBMFF metadata built from NAL units to preserve VVC operating-point composition information.

This encoding case derives P×Q quantization matrices from N×N bases to reduce matrix code while maintaining image quality.

Subblock classes and RPR phases select filter coefficients for accurate reconstruction without a secondary adaptive loop filter.

This decoding approach disables implicit MTS under defined conditions and derives vertical and horizontal transforms from TU dimensions.

This case reconstructs video blocks by subblock transforms and boundary filtering to balance compression efficiency with decoder complexity.

Sequence-, picture-, and slice-level flags selectively enable LMCS, ALF, and SAO, improving compression while limiting encoding overhead.

This case uses depth-layered spherical harmonic coefficients to support rotational and translational parallax with selective image encoding.

Selective luma and chroma neural filtering reduces complexity in video decoding.

The decoding method partitions a block template and combines multiple weight modes to improve prediction accuracy in video compression.

This video processing case prunes redundant motion vector prediction candidates to preserve diversity and improve coding efficiency.