Digital Video Signal Modification TRIZ Cases

A decoder-side connector adapts compressed video for display or machine tasks, preserving detection accuracy at low bitrates.

Different luma and chroma transform partitions improve chroma image quality in recursive intra regions without adding unnecessary coding overhead.

Context-bin limits switch residual decoding to bypass syntax at the right point, cutting coding complexity while preserving image compression efficiency.

Mode amplitude ratios gate weighted blending by block, avoiding unnecessary intra prediction blending that can add noise and reduce quality.

Mode sameness indicators and MPM lists reduce intra-prediction signaling overhead while preserving compression efficiency for high-quality video.

Adaptive tap selection predicts chroma from luma per coding block, improving video compression while limiting visible quality loss.

Concurrent half-pel and quarter-pel cost evaluation selects reference blocks faster, cutting video encoding delay and hardware complexity.

Neighbor-based merge candidates refine reference block vectors for more accurate intra template matching and lower video coding overhead.

Nonlinear luma square and gradient filters improve chroma block reconstruction when linear prediction cannot handle diverse video block types.

Selective residual masking skips low-impact video residuals to cut encoded data size while preserving reconstruction quality and encoding efficiency.

Decoder-side template matching refines intra-block copy vectors to improve video compression while limiting bitrate signaling.

Dividing coding units into quantization groups enables adaptive QP assignment that cuts quantization distortion while keeping video decoding efficient.

Determining the last significant coefficient in non-dyadic residual blocks improves video bitstream compression and bandwidth use.

Adaptive scanning order and unit selection for transform coefficients improves image coding efficiency while limiting decoding complexity.

Ordering SPS before PPS and picture headers enables adaptive resolution changes in VVC decoding with lower signaling complexity.

Adaptive deblocking at image block boundaries cuts artifacts and bit overhead while improving inter prediction efficiency.

Combining derived intra modes with MIP cuts mode signaling overhead while preserving prediction quality across varying video textures.

Neighbor-based warp delta prediction improves video block compression and decoding for complex motion while limiting coding complexity and artifacts.

Extended DMVR uses different sample sizes and selective subblock refinement to improve decoder motion vector accuracy without excessive overhead.

A flag-driven chroma QP table lets decoders assign separate Cb and Cr quantization values to improve compression efficiency and cut image data cost.

Curved intra prediction improves image decoding efficiency by following image contours with filtered reference samples and selective block use.

Run-length coding of zero residuals followed by Huffman coding cuts enhancement-stream compression complexity while keeping decoding fast.

Adaptive color transform improves 4:4:4 video decoding by exploiting RGB component correlation while balancing coding complexity and fidelity.

A multi-task network predicts VVC intra CU splits and coding modes to cut screen-content encoding complexity without hurting coding performance.

Combining motion data from nearby blocks improves inter prediction accuracy for high-resolution video while keeping derivation complexity manageable.

Adaptive MPM lists combine spatial and temporal neighbor blocks to improve intra prediction accuracy without raising decoding complexity.

Grouping intra prediction modes by neighboring block context cuts mode signaling bits while preserving decoding accuracy.

Block-level quantized coefficient adjustment controls encoded bitrate while preserving video quality and reducing data size.

Blending adjacent and non-adjacent reference lines improves wide-angle intra prediction for non-square blocks and cuts coding residuals.

Candidate parameter inheritance in weighted chroma fusion improves cross-component prediction accuracy while reducing video coding complexity.

Reference-layer parsing and chroma matching enable cross-layer video prediction that preserves picture quality under limited bandwidth.

Limiting SVT block positions and using adaptive DST-7 transforms cuts signaling overhead and encoder complexity while preserving residual coverage.

Selective deblocking based on patch video detection preserves sharp patch boundaries while reducing blocking artifacts in encoded video.

Applying LFNST to sub-partition transform blocks improves image and video compression while limiting transform coding overhead.

Classifying spatial, temporal, and non-neighboring blocks improves inter-prediction candidate selection and image decoding efficiency.

Layer geometry changes drive variable I-frame intervals and GOP length, improving video coding efficiency with lower compute and power use.

Splitting coding blocks into L-shaped and rectangular regions improves video prediction accuracy, cuts data volume, and boosts encoding efficiency.

Temporal and spatial prediction mode flags help point cloud encoders cut attribute redundancy and improve compression efficiency.

Using subblock motion vectors as predictors cuts motion vector data in inter prediction, improving video compression efficiency.

Boundary-aware coding block partitioning uses parsed split syntax to improve video compression while limiting signaling, memory, and processing load.

Masked CNN units synthesize intermediate video frames by processing motion regions instead of full frames, cutting memory use and latency.

Adaptive fallback coding changes code length by buffer occupancy to prevent bitstream overflow or underflow and preserve image data integrity.

CCP merge candidates and intra prediction are combined to refine chroma block reconstruction from neighboring and historical block models.

Temporal IDs and level data in the bitstream header let decoders identify mixed frame-rate sub-bitstreams faster and more accurately.

Content tagging by scene and encoding complexity guides bitrate switching to avoid frame loss, audio drops, and sync errors.

Selective prediction flag parsing by block size cuts small chroma-block overhead and delay while preserving decoding throughput.

Reference sample intervals are adjusted to frame-size differences, improving block reconstruction quality without unnecessary filtering.

A segmented CFL parameter search cuts encoding time and computational cost while preserving chroma prediction accuracy and bandwidth efficiency.

Adaptive dequantization offsets based on QP, transition state, and index magnitude improve video coding efficiency while preserving reconstruction quality.

Adaptive endpoint and quantization encoding compresses RGB pixel blocks in fixed size while preserving perceptually equivalent image quality.