Digital Video Signal Modification TRIZ Cases

Residual selection by codeword length speeds point cloud geometry encoding and lowers processing complexity for massive data transmission.

Segment-based sign hiding lets VVC dependent quantization recover coefficient signs from trellis state and parity, cutting sign signaling overhead.

Filtering the reference block with template-derived model parameters corrects illumination-driven sample deviations and improves coding prediction accuracy.

Directed transforms on hierarchical residual data improve video and image compression while preserving reconstruction quality and reducing artifacts.

Weighted CIIP blends planar intra and inter prediction for luma and chroma blocks to cut image data volume while preserving quality.

Dynamic target bit setting uses image content, lossy bits, and buffer fullness to improve rate control and reconstructed image quality.

Bayesian optimization and content features predict video encoding parameters, cutting re-encoding time and compute while preserving quality.

Split non-selected intra prediction modes by proximity so closer angular modes use fewer bits, cutting signaling overhead in video coding.

A nine-state TCQ table with a dummy state improves dequantization mapping, boosting video compression efficiency and rate-distortion quality.

A selective intra merge skip mode avoids residual coding for null-residual blocks, improving video compression efficiency without broad loss of prediction reliability.

Adaptive loop filter references are restricted by temporal layer and picture type to cut video coding complexity while preserving scalable decoding.

Probability-based region decisions and skip flags limit reconstruction artifacts while preserving picture encoding efficiency and bit rate control.

A unified partition index table simplifies GPM, IBC-GPM, and SGPM while improving video block compression efficiency.

Bit allocation is adjusted for fully padded coding units to reduce reconstruction gaps between padded and non-padded slices.

Maps sub-pictures to video layers with metadata signaling, easing decoder parsing for region-of-interest extraction and scalable rendering.

Extending CPR search into part of the left CTU improves intra block copy prediction while keeping reference-pixel memory unchanged.

Adding a third most probable intra mode raises match likelihood and cuts coding cost without increasing encoding complexity.

Biasing template cost for IBC and intraTMP modes improves video block mode selection efficiency while keeping low-latency encoding and decoding.

Weighted luma and chroma template matching refines BCW weight derivation for coding units, improving prediction accuracy and compression.

Local quantization by macroblock preserves visual quality at a fixed bitrate, reducing visible artifacts and processing overhead in video editing.

Regular-bin-first scan passes simplify dependent scalar quantizer decisions, sustaining entropy-coding throughput without losing coding efficiency.

Differential coding of residual coefficient subblocks improves image compression efficiency while lowering transmission and storage burden.

Cross-component filter coefficients adjust reconstructed luma samples from chroma locations to reduce video coding artifacts and error.

Real-time feature mapping to RD clusters guides live transcoding ladders, balancing video quality with compute and bandwidth limits.

Conditional bitstream signaling selects block partition schemes from local content and neighboring blocks to improve compression and reconstruction quality.

Segmenting panoramic video into view-specific bitrate versions helps terminals match network changes while preserving video quality and reducing waste.

Mixed NAL unit signaling lets slices share picture-level type information while preserving flexible reference list coding and compression efficiency.

Conditional syntax signaling for output layer sets cuts bitstream overhead while preserving accurate multi-layer video decoding.

AU-specific timing flags and HRD variables prevent discardable-picture errors in VVC bitstreams and reduce decoder crashes.

Cost-based prediction of motion vector difference bits improves decoding accuracy and compression efficiency with lower coding complexity.

Frequency-based code assignment adapts image encoding by region, preserving detail where needed while cutting storage demand.

Video frames are split into U and V components with adaptive parity allocation to recover partial burst losses within live latency limits.

One encoding engine reuses motion vectors and mode decisions across frame rates and profiles to cut silicon, power, and DRAM costs.

Unequal-weighted template matching ranks reference line and mode combinations to improve intra prediction compression without quality loss.

Vector operations on neighboring block directions improve intra prediction accuracy while limiting mode bits in video coding.

Gradient-based PROF and BDOF refine affine block motion prediction to improve video coding precision and reduce bitrate.

Picture-level chroma QP offsets guide deblock filtering to cut chroma bits while preserving video quality in high-QP coding.

Signals whether a VCM bitstream targets human viewing or machine tasks so decoding can reconstruct images with purpose-specific processing.

Variable precision for motion vector parts improves video coding efficiency by matching vector accuracy to coding mode and content complexity.

Slice-based bit allocation across transformed image blocks improves wireless transmission robustness while preserving usable image quality under data corruption.

BLA pictures and RAP constraints let video bitstreams add clean mid-stream access points for easier switching, editing, and adaptive delivery.

Template matching refines affine candidates and control point motion vectors to capture complex block motion with better video coding efficiency.

Correlation-derived template weights improve inter-block prediction, cutting video bit rate while preserving reconstruction quality.

Compact timing flags let decoders derive picture output times without full HRD signaling, reducing bitstream overhead for high-quality video.

Adaptive subblock partition candidates improve intra-prediction accuracy and coding efficiency while limiting encoding complexity.

Signals horizontal and vertical NNPF scaling ratios in the bitstream to improve upsampled video quality while limiting bandwidth overhead.

Adaptive block partitioning and merge candidate lists refine motion vectors for more efficient high-resolution and stereoscopic video coding.

Multiple template-based intra prediction candidates improve spatial geometric partition coding accuracy while limiting video codec complexity.

Selective signaling of skip, merge, and CBF flags cuts unnecessary bitstream data while preserving accurate video decoding.

Chroma phase signaling and parameter reuse simplify cross-component intra prediction, cutting memory use and computation in video coding.