Digital Video Signal Modification TRIZ Cases

Clipping temporal motion vectors limits their bit depth and dynamic range, reducing memory and bandwidth demands in high-quality image coding.

Conditional chroma-input signaling lets NNPF video processing support 4:0:0 pictures without redundant bitstream indications.

Cross-component prediction uses luma information and adjustable chroma values to improve accuracy while reducing video bitrate.

Relationship metadata identifies alternatives among immersive-media bitstreams, helping decoders present the correct media representation.

Traditional video codecs need better efficiency and effectiveness; a neural network filter refines video units during bitstream conversion.

History tables reuse cross-component prediction parameters across video blocks to improve coding efficiency without repeated model calculations.

Moving HDR encoding from the RDP stack to the video driver reduces CPU and memory use for remote desktop clients.

VVC decoders derive chroma modes from adjacent luma and chroma gradients, reducing bitstream signaling while improving texture matching.

Partial frames sampled above the stream frame rate lower peak bandwidth use and latency while preserving video resolution.

Vertical edges are filtered before horizontal edges using boundary-strength indices and control parameters to reduce processing load and blocking artifacts.

Pixel grouping and locally derived models address color and texture differences between matched video blocks, improving prediction with less side information.

Sharing CABAC contexts across 16×16 and 32×32 transform blocks cuts memory and initialization overhead while preserving acceptable coding efficiency.

This video-coding case combines CCALF luma coefficients with ALF chroma coefficients to improve image quality while limiting processing resources.

Separate inter and intra predictions are selectively combined to preserve accuracy while reducing coding complexity and memory bandwidth.

Rectangular video blocks adapt prediction direction and filter selection to preserve accuracy while reducing encoding information and bandwidth demand.

When reference pictures differ in resolution, the decoder gates DMVR to matched resolutions, reducing processor and memory use while preserving coding efficiency.

The encoder uses neighboring template samples to select prediction weights, reducing separate signaling overhead in video coding.

Splitting video blocks into independently coded sub-blocks helps IBC handle complex motion while improving compression and visual fidelity.

Subdivided mesh curves and entropy-coded displacement vectors reduce dynamic mesh data for real-time AR and VR transmission.

Derived angular modes and weighted prediction blocks address limited compression efficiency in image encoding and decoding.

Adaptive TU partitioning frees enhancement-layer residuals from base-layer CU sizes, improving compression efficiency in layered video.

Conditional TSRC signaling prevents unnecessary sign-data-hiding flags in transform-skip blocks, reducing coded bits for high-resolution images.

Reference-view depth maps are warped into dependent views to improve motion-vector prediction and reduce inter-view redundancy and bit rate.

Client status selects relevant point cloud regions before transmission, reducing bandwidth use and device processing demands in immersive media.

Position-based short codes for ALF coefficients reduce worst-case codeword length and ease encoder and decoder processing.

Alternating M×N and N×M convolutions balance horizontal and vertical features to reduce distortion in decoded video.

Multiple MPM lists guide intra prediction in image coding, improving compression efficiency and reducing storage and transmission data.

Conditional partitioning discards out-of-boundary video portions while preserving coding flexibility and improving compressed bitstream efficiency.

Integrating an upscaler into the LCEVC encoder removes redundant downscaling stages, reducing hardware needs and processing overhead.

Adaptive weight and offset parameters address luminance changes in reference frames, improving coding efficiency while easing network bandwidth strain.

Block size determines reference-sample length for matrix-based intra prediction, while inner luma samples support cross-component decoding.

Decoders choose interpolation filter sets from block size and intra mode, balancing prediction accuracy against encoding overhead and image quality.

Adaptive reference-sample selection for planar block prediction helps VVC capture complex textures while improving compression efficiency and limiting coding complexity.

Adaptive fusion and lightweight block models improve VVC chroma prediction accuracy while limiting computational complexity.

Bi-predicted reference template samples drive LIC scaling and offset parameters that adjust current coding units for changing temporal illumination.

A conditional syntax value identifies the first short-term reference picture, improving list construction and compression efficiency in video decoding.

See how tile boundaries and normal-slice headers preserve dependent-slice compression while enabling parallel decoding.

High-resolution video coding can increase transmission and storage costs; MPM candidates from neighboring and non-neighboring blocks improve intra prediction efficiency.

History-based motion candidates inherit half-pixel filter indices for skip and merge blocks, reducing explicit signaling overhead while preserving prediction quality.

Affine merge candidates derive adaptive weight indices for bi-prediction, improving compression efficiency while limiting decoder calculations.

Adaptive quantization correction uses a reference value when chroma transform is skipped, reducing unnecessary code growth while maintaining image quality.

Sequence-, picture-, and slice-level flags selectively enable LMCS, adaptive loop filtering, and SAO to balance coding efficiency with encoding complexity.

Different candidate-list processes increase coding complexity; a unified construction supports multiple intra prediction technologies while improving efficiency and accuracy.

Sobel-derived intra directions select transform sets for geometric video partitions, balancing coding quality against derivation complexity.

Block-size thresholds select available templates and filters for extrapolation intra prediction, improving accuracy while limiting bitstream overhead.

Selectable tables and indexed correction values refine base motion vectors for video inter prediction, improving coding performance.

Flipped template matching adjusts one block-vector component by block spacing while preserving the other for efficient screen-content coding.

Adaptive search and multi-reference candidate lists improve intra prediction for repetitive screen content while controlling encoding overhead.

Syntax elements and distortion costs select in-loop filter models for each coding tree unit, balancing neural filtering performance with efficiency.

Partitioning transform coefficient blocks into 4×4 sub-blocks enables localized secondary transforms that balance video coding efficiency and processing complexity.

A re-sampling SEI message conveys down-sampling parameters within video bitstreams, resolving decoder ambiguity and improving up-sampling accuracy.

Ranking reference frames by quality scores simplifies the context tree structure and reduces signaling complexity in video coding.

A video processing system generates and stores pixel data for reference frames at multiple resolutions to support efficient decoding operations.

Encoder calculates bottom-right pixel values from boundary pixels to generate smooth prediction blocks.

A video encoding apparatus selectively bypasses quantization and transform steps to preserve text and graphics fidelity.

Restricts intra block copying search regions to same slice or tile boundaries, preventing decoding errors from cross-region prediction blocks.

Segmenting the reference buffer and applying preliminary actions reduces memory usage while maintaining compression efficiency.

Adaptive kernel selection resolves complexity trade-offs by mapping prediction modes to specific transform types.

A video decoder adjusts picture buffer removal times to handle missing access units.

A video decoding apparatus derives an intra prediction mode list using neighboring block modes to generate a prediction block.

Partitioned encoding structures eliminate dual inventories by decoding only necessary tiles, reducing storage demands.

A picture coding device partitions differential information into sub blocks and derives context indexes from neighboring significant sub block data.

A deep neural network refines integer-rounded initial motion fields into pixel-based vectors for video encoding and decoding.

Padding coded slice NAL unit segments at byte boundaries enables parallel decoding threads while reducing memory addressing complexity.

A moving image encoding apparatus adjusts quantized values for regions of interest based on detected motion information.

A video encoding apparatus segments current blocks into sub-blocks for independent transform processing to generate residual data.

Segmenting video frames into dynamic and static tiles allows selective encoding to reduce network resource consumption while supporting more concurrent users.

Flexible splitting types partition out-of-bounds coding units, resolving mandatory quadtree inefficiencies at picture boundaries.

Deriving chroma intra-prediction modes from luma blocks reduces data redundancy and lowers transmission costs for high-resolution images.

Generating an intra mode based on coding information resolves the trade-off between coding efficiency and process complexity in video processing.

A video signal reconstruction method applies preprocessing and postprocessing matrices to approximate core transforms like DST7 or DCT8.

A hybrid encoder combines hardware block analysis with software stream evaluation to adjust encoding parameters dynamically.

Applying non-separable transforms selectively via window weighting improves compression efficiency while lowering computational complexity.

A video coder sets a temporal merging candidate reference index to a non-default value when initial and indicated reference pictures belong to different types.

Look-up tables store motion information from previously coded video blocks to derive candidates for subsequent encoding stages.

Modifying slice header syntax elements allows precise placement of inter-view references, reducing bit costs in multi-layer video coding.

Dynamic weighting parameters based on intra prediction type optimize compression while preserving image quality.

A video bitstream uses a look-up table to adjust quantization levels for color components.

A transform skip module passes input signals through intermediate stages to optimize feature extraction in video compression frameworks.

Unifying DMM prediction cases with extended neighboring samples reduces device complexity and encoding time while maintaining measurement precision.

A semiconductor device decodes video frames into hierarchical layers and stores them in a decoded picture buffer for chronological and reverse playback.

Conditional access unit delimiter signaling resolves the trade-off between detection reliability and signaling overhead in video coding.

Adaptive non-separable secondary transform kernels optimize residual coding efficiency in image compression systems.

Moving the base view inside a group of pictures reduces decoder complexity and bit stream consumption during live broadcasting.

A video encoding method subtracts camera motion vectors from total frame motion to isolate inherent object movement.

A deblocking filtering unit adjusts strength based on luminance signal levels and quantization parameters.

A decoding method parses parameter set indications to determine coding tree block partition modes and sizes for video data.

A decoding order flag configures subpicture tracks to specify reconstruction sequences within VVC video files.

Encoder switches decoded picture buffer parameter storage location based on layer count.

A motion compensation filter apparatus switches filters in slice units to reduce flag overhead.

Conditional signaling of wrap-around motion compensation offsets reduces bitstream overhead while maintaining precise horizontal position determination.

Header decoding circuitry specifies input tensor identification parameters to resolve ambiguity in neural network filter input and output formats.

Rectangular tile groups structure video pictures to enable flexible encoding and decoding operations, resolving parallel processing limits in HEVC standards.

Video decoder derives cross component prediction mode autonomously to eliminate signaling overhead while maintaining low distortion.

A video processing method embeds test objects in frames to verify transcoding parameters.

A 3D reference motion vector predicts pixel positions on a viewing sphere to enhance panoramic video encoding.

Adaptive predictor weighting resolves the trade-off between encoding complexity and prediction accuracy near block borders.

Video decoding device selects optimal transform kernel from multiple groups to inverse-transform residual signals.

Rate control module adjusts quantization parameters using sum of variances and estimated picture encoding cost metrics.

A streaming system dynamically adjusts frame rates and resolutions to reduce latency while maintaining video quality.