Digital Video Signal Modification TRIZ Cases

Reference samples chosen from block and CTU position, shape, and size improve cross-component prediction accuracy and coding efficiency.

Template-cost mode selection lets encoder and decoder align CCP prediction implicitly, improving video coding efficiency with less signaling.

Adaptive sub-block sizing and threshold-based fallback constrain affine-mode memory bandwidth in VVC while preserving encoding efficiency.

Monotonic nonlinear curve fitting replaces interpolation to compare codec metrics across any bitrate interval with higher accuracy.

When weight coefficients and offsets are absent, decoding switches from weighted to normal prediction to avoid incorrect bi-prediction output.

Conditional filtering of CCP chroma prediction uses block coding information to raise video coding quality while limiting extra processing.

Beam search narrows VVC intra coding decisions across dependent CUs to improve rate-distortion performance without excessive encoding complexity.

Weighted sub-block prediction combines inter and intra modes to improve video compression while keeping encoding and decoding complexity manageable.

Multiple ALF parameter sets are assigned by picture, slice, or tile to improve reconstructed video quality while limiting bandwidth and filtering complexity.

Using luma residual classifiers to select chroma offsets, this case improves video coding efficiency while limiting added coding complexity.

Neighbor-based reference block search and distortion matching improve sub-block motion prediction to cut image transmission and storage costs.

Reference block coding modes guide motion candidate pruning, improving video coding quality without unchecked processing overhead.

Moving the secondary transform identifier to earlier signaling and limiting it by block size cuts decoding delay and memory use.

Block-level CCRM uses reconstructed luma to guide chroma prediction in intraTMP coding, improving compression and reducing color artifacts.

Block-specific motion vector accuracy uses partition size, direction, and content cues to cut bit overhead in video coding.

Direct block copying with a residual skip flag cuts bitstream overhead and coding complexity in IBC and IntraTMP video coding.

Fractional block vectors improve video prediction and reconstruction to raise coding efficiency while preserving video quality and lowering data needs.

Selective gate flags signal only needed constraint groups, cutting video bit use while preserving prediction accuracy for coding blocks.

An ingest-side buffer caches incoming stream segments to cut startup latency and prevent content gaps when a transcode server fails.

Curved intra prediction uses reference pixel position and curvature parameters to improve compression efficiency for high-resolution images.

Future reference picture lists guide whether a current frame stays in chip memory or system memory, cutting video bandwidth and power use.

Template matching replaces inherited BCW indices for merge-coded VVC blocks, improving bi-prediction accuracy and coding efficiency.

Sequence header data is extracted into the track header so decoders avoid reprocessing duplicate headers and use fewer compute resources.

Angular intra prediction uses block-size-dependent smoothing filters to cut video redundancy while preserving reconstruction quality.

Block width and height drive horizontal and vertical transform selection to cut image data volume while preserving coding efficiency.

SLI SEI signaling organizes sublayer level data across output layer sets, improving VVC decoding efficiency and bandwidth use in 360° streaming.

Block-specific precision factors adjust dequantization and inverse transforms to improve video compression efficiency without uniform decoding overhead.

Priority signaling guides neural network compression to preserve critical-task accuracy while cutting bits on less important aspects.

Expanded scaling window offsets enable flexible reference picture resampling in multi-layer video while preserving DMVR and BDOF compatibility.

Layered picture coding with equal low-layer decode intervals cuts memory use and prevents buffer overflow in lower-frame-rate video decoders.

Subpicture track grouping and reference mapping let decoders merge mixed NAL unit types with lower bitstream parsing complexity.

Pre-ranked AV1 transform kernels and early stopping cut encoding time while preserving compression quality across frames and resolutions.

Selective residual modification uses pixel metrics to compress mixed-motion video efficiently while preserving fidelity for text and logos.

Implicit sub-block flag signaling through quantization coefficients cuts bit stream overhead while preserving transform position decoding.

Limits CABAC passes and unifies coefficient coding across transform and non-transform blocks to cut delay, code amount, and circuit scale.

Duplicate motion vectors are removed from GPM candidate lists to shorten list construction and improve video encoding and decoding efficiency.

Different quality tiers are assigned to video regions and tiles so decoders can process only needed areas, cutting decoding time and resource use.

Cached live media is sliced into independently codable segments and encoded in parallel to match frame rate and avoid playback stalls.

Adaptive prediction-direction selection narrows intra-coding candidates to improve video compression efficiency and scalability while preserving image quality.

Subpicture boundary extension and cross-layer alignment enable efficient bitstream extraction, merging, and decoding on limited devices.

SEI messages and ISOBMFF sample groups signal DRAP and CRR references to prevent decoding errors and preserve correct video presentation.

An Ichimatsu pixel layout combines left and right camera images to avoid wasted pixels and deliver 4K or 8K 3D display quality.

Post-decoding guided filtering classifies video units and applies tailored parameters to reduce ringing artifacts while preserving smooth image transitions.

Adaptive superblock partitioning compares subblock layouts to cut grid artifacts in compressed video while preserving encoding efficiency.

Scaling factors derived from film grain and filtered image blocks help reconstruct natural grain after compression while reducing bitrate.

Weighted averaging across sub-block merge candidates improves prediction accuracy and coding efficiency for high-resolution image and video decoding.

Flags and syntax elements define output layer set modes so decoders can select the right video layers for efficient scalable stream rendering.

Decoding load data for each image region helps match decoder capability more accurately and avoid unnecessary high-level decoder use.

Adaptive interpolation filter selection uses syntax-based signaling to improve motion-compensated prediction with lower bit stream overhead.

Slice records and playback progress keep video segments aligned across definitions, avoiding redundant transcoding during quality switches.

A video encoding apparatus determines a reference picture set using an index to identify pre-defined sets based on picture order count values.

Local quality and dynamics principles guide a de-ringing filter that removes ringing artifacts while preserving edge sharpness in decoded video blocks.

A vector processing unit segments transcoding packets into queues for parallel execution.

Advance encoding data provides file size information to clients, resolving trial-and-error inefficiencies in video streaming adaptation.

A codec system interleaves video frames from multiple sources into a single stream for unified decoding.

Affine motion models derive sub-block vectors to capture complex rotation and zoom, reducing bit generation while maintaining high estimation precision.

A spatial-temporal motion vector predictor generation method filters candidates by shared reference pictures to remove scaling operations.

A video encoder generates modified merge candidate sets using motion vector differences to adapt prediction modes.

Segmented CABAC modes resolve the contradiction between encoding precision and throughput performance in high bit-rate scenarios.

Conditional bidirectional intra prediction flag signaling reduces bitrate overhead by adapting to reference sample availability and block size.

A gradient linear model calculates filtered values from luma intensity differences to predict chroma samples in video coding.

A dependency tree links encoded blocks to reference blocks, enabling prediction using spatial neighbors outside the writing path order.

Adaptive streaming injects luminance-dependent noise into video signals to alleviate banding artifacts in lower bit depth displays.

Deriving prediction parameters from horizontal and vertical pixel gradients simplifies multiplication operations, reducing encoding computational complexity.

Bitstream flags control selective filter application to reference samples, resolving ringing artifacts while preserving edge sharpness in video coding.

Geometric partitioning merge mode derives motion information from regular and geometric candidates, reducing computational complexity during video conversion.

An adaptive deblocking filter selection mechanism determines coding unit shapes to apply appropriate filters.

Mini block segmentation reduces mobile processing time while maintaining compression efficiency.

Separate transport stream buffers handle base and enhancement layers independently, preventing overflow while simplifying decoder processing.

Segmented ISOBMFF boxes store link data to resolve V-PCC decoding bottlenecks for partial point cloud reconstruction.

A video encoding method constructs a triangular prediction mode candidate list using a configurable maximum number of candidates to optimize coding efficiency.

An adaptive entropy coding system partitions video data into groups and selects dynamic scan orders based on local coefficient distribution.

A video coder selects one-pass or multi-iterative bi-directional optical flow based on block size to refine motion vectors.

A diagonal scan transforms two-dimensional transform coefficient arrays into one-dimensional sequences for context selection.

An adaptive entropy encoding method adjusts parameters based on the position of interpolation filter coefficients relative to the target pixel.

A video processing method configures an affine candidate list using neighbor blocks to derive control point motion vectors for prediction.

Limits neighboring sample counts for large chroma blocks, reducing computational complexity while maintaining image quality.

Complexity analysis assigns video content to specific buckets, optimizing quality and resource tradeoffs.

A video encoding method organizes transform coefficients into sets and quantizes them using magnitude sums.

Parsing a transform index based on block size, tree type, and ISP status optimizes compression efficiency for high-resolution video data.

A decoding apparatus selects dynamic motion vector resolutions based on prediction direction and picture order count distance.

A decoder generates reconstructed blocks using motion information and residual data to determine visual quality without a reference block.

Multi-type-tree framework partitions video blocks with three structures to capture centered objects, reducing bitrate-distortion by 3.18%.

A decoding apparatus selects reference pictures from neighboring blocks to reconstruct current video frames using motion vector offsets.

An adaptive in-loop filter selects classification modes to process reconstructed picture samples.

An encoder stores probability parameters for entropy encoding and initializes them using reference picture data to streamline slice processing.

Signaling deblocking filter parameters via flag information reduces data transmission volume while maintaining high-resolution image quality.

A reception apparatus analyzes packet intervals to adjust target transmission rates dynamically.

Position-dependent quantization balances pixel distortion across blocks, reducing edge artifacts while maintaining compression efficiency.

A method filters peaked samples in reconstructed images by applying adaptive offsets derived from neighboring pixel categories.

Shifts prior frame partitions via motion vectors to minimize re-computation and distortion while maintaining prediction accuracy.

Embedding verification data into image pixels using timing sequences eliminates manual entry errors and reduces labor costs in ticket processing.

Segmented buffering of hierarchical video layers resolves playback delays caused by unpredictable bandwidth fluctuations.

A motion compensation unit derives L0 and L1 motion information to generate prediction blocks for image encoding.

Advanced motion vector predictor lists incorporate non-adjacent candidates to expand available motion information diversity.

Encoder applies dynamic block flipping during hash-based matching to resolve coding efficiency versus encoding complexity trade-offs.

A decoder parses code streams to determine quantization parameters for image blocks based on their coding schemes.

Corrupting compressed media frames before encryption renders unauthorized copies unviewable while authorized clients restore quality.

Selective adaptive loop filter application based on rate-distortion cost evaluation for video coding blocks.