Digital Video Signal Modification TRIZ Cases

A video recorder creates a new key frame at the requested playback point, avoiding burst decoding and unnecessary frame transmission.

Signals an NNPF full-range flag when output and decoded color spaces differ, enabling accurate video conversion and display.

Implicit LBCCP usage from template cost or prior coded blocks improves video coding efficiency without extra bitstream signaling.

Structured CCP candidate selection from adjacent, non-adjacent, and history-based blocks improves video coding efficiency and effectiveness.

Template matching costs guide nonlinear prediction model selection to improve video compression efficiency without exhaustive model evaluation.

Multiple HMVP tables use different update rules to expand relevant motion vector candidates and improve video coding efficiency and quality.

Conditional decoding of subblock and regular merge indicators reduces inter prediction bit overhead while maintaining prediction accuracy.

Weighted chroma prediction blends inter and luma-based cross-component blocks to improve video compression efficiency with controlled complexity.

Chroma QP offsets are parsed from palette syntax and list-entry counts to cut signaling bits and improve image and video coding efficiency.

Classical block search inside a neural video codec cuts motion-vector bitrate and improves residual-aware motion field encoding.

By matching ending and startup delays across CBR, VBR, and CVBR segments, this case reduces buffering, black screens, and artifacts.

A CNN trained on multi-size pixel blocks predicts video encoding modes, cutting traversal time while preserving image quality and compression ratio.

Using existing bitstream QP values to derive chrominance block QP cuts decoder complexity while improving coding efficiency and artifact control.

Blending two non-linear chroma predictors preserves coding efficiency when linear-model prediction is disabled for low latency or low power.

Lightweight attention modules in a composite transformation network improve reconstructed picture quality while controlling decoding complexity and time.

A Bayesian optimization and ML workflow predicts content-specific encoding parameters, improving video quality while cutting re-encoding time and compute use.

AI prediction sends differential data blocks instead of full XR streams, cutting wireless traffic while preserving communication quality.

A sequence flag and reversed last-significant coefficient position reduce coding overhead and improve decoding throughput in triple-high video.

Separate context buffers by temporal sublayer to initialize arithmetic entropy coding with better synchronization and compression.

Using three neighbor-derived candidate modes, this case cuts codeword length for intra prediction while preserving video quality.

Temporal neighboring blocks supply bi-prediction motion vector candidates, cutting explicit signaling, bit rate, and decoding overhead.

Haar wavelet chroma post-processing restores downsampled UV signals using Y-guided enhancement to improve decoding with lower complexity.

Encoded video chunks are split across computational storage units, enabling local clip decoding and reducing host processor delays.

A video recorder inserts new I-frames within long GOPs so playback can start mid-stream without burst decoding, cutting bandwidth and client load.

Texture templates and HoG-based analysis improve virtual intra prediction mode selection for more accurate transform choice in video coding.

Inter-predicted samples, gradient histograms, and template matching help derive intra modes that better fit block texture for CIIP and transform selection.

Adaptive frame skip levels use delay feedback and content characteristics to limit delay buildup while preserving real-time streaming quality.

A 6-entry MPM list lowers intra-prediction signaling overhead in video decoding while retaining broad mode coverage for coding efficiency.

NSST concentrates non-zero coefficients in low-frequency components, cutting residual data and improving image coding efficiency.

Motion prediction is constrained within tile boundaries to preserve tile independence while minimizing video coding efficiency loss.

Adaptive DPB parameter indexing for output layer sets improves image coding efficiency while limiting transmission and storage overhead.

Threshold-based DST-7 and DCT-2 selection improves intra block compression efficiency while preserving picture quality in video coding.

Partially reconstructed and predicted samples enable low-latency template matching while preserving motion vector refinement accuracy in video coding.

Profile-specific I-picture and I-slice constraints keep video bitstreams aligned with intra profiles during encoding and decoding.

Sub-template weighting lets TIMD adapt intra prediction across block regions, improving accuracy and coding efficiency on complex textures.

Constant slice parameters are moved into the picture parameter set with an indicator flag, cutting redundant header bits and improving video compression.

Multiple context bins signal AMVR precision by coding mode, improving motion vector compression while limiting side-information overhead.

Multiple warp groups are evaluated per video block to encode rotation, zoom, and shear more efficiently while reducing data volume.

Picture- or slice-level ALF signaling improves video decoding efficiency while preserving compression gains for high-quality image data.

Syntax-based control limits low-selectivity intra modes in geometric partitioning, cutting code amount while preserving coding performance.

Neighboring wedgelet separation lines are aligned and refined to cut side information overhead while preserving block partition coding accuracy.

Multi-reference prediction blends intra and inter blocks in flat image areas to reduce visible quality gaps without hurting coding efficiency.

A slice-header length indicator lets legacy HEVC decoders skip extension data while extension-aware decoders still use it correctly.

Uses a GDR picture with a zero recovery point to enable random access decoding while improving compression efficiency and bitstream handling.

Motion information tables and grouped merge candidates improve HD video inter prediction while limiting added data and decoding complexity.

Extended ternary-tree signaling lets video decoders handle non-power-of-two sub-blocks, improving compression efficiency with controlled bitstream overhead.

Defined SEI syntax value ranges prevent decoder crashes and enable consistent bit allocation for efficient video bitstream processing.

New CRA and BLA picture constraints simplify container mapping while enabling cleaner random access, stream switching, and editing.

Slice-based CTU row organization improves video encoding and decoding parallelism while managing picture timing and buffer delays.

CRA and BLA picture constraints add flexible decoding entry points while simplifying container mapping for adaptive delivery and editing.