Digital Video Signal Modification TRIZ Cases

When only one motion vector is available, derived second motion information enables BIO prediction with better coding efficiency and controlled complexity.

A segmented search space refines inter-prediction motion vectors to improve video compression while limiting search complexity and speed loss.

Selective motion vector clipping in affine EIF coding cuts reference-area bandwidth demand while preserving picture quality in rotational motion scenes.

A unified CCB bound across transform and transform skip residual coding simplifies entropy handling and improves video compression efficiency.

MFM and MPM indicators cut intra prediction signaling overhead while preserving prediction accuracy and improving image reconstruction quality.

A frame-level global motion model cuts motion vector signaling while improving prediction accuracy for video blocks in compressed bitstreams.

Multiple threads code residual information with hyperprior and autoregressive modeling to improve compression ratio, reconstruction quality, and decoding speed.

Selective sample filtering based on block shape, coding mode, and reference lines improves image coding efficiency while limiting data volume and cost.

Adaptive weight prediction and sub-block division improve video block prediction when brightness changes or frame correlation is low.

Contiguous regions use shared global motion models while local blocks keep individual motion, cutting motion-vector bitrate and decoding complexity.

Signals NNPF usage suitability and removes optional SEI messages during sub-bitstream extraction to cut bandwidth and decoding overhead.

Independent HMVP list initialization by tile enables parallel CTU processing while improving video compression efficiency and preserving picture quality.

Secondary transform sets are derived from block size and color traits to cut bit rate, encoding time, and decoder complexity.

Alternating base-layer frames with skip-frame-referenced LCEVC cuts encoder load, power, and chip area for high-rate video.

Configures reference picture lists and active reference indexes in slice headers to handle subpictures at different locations during encoding and decoding.

Bilateral matching refines affine control point motion vectors to improve video block prediction and compression with manageable complexity.

Attribute indicators let decoders reuse shared parameters across data subsets, cutting metadata overhead while enabling faster parallel image and video decoding.

Camera-specific correction meshes shift lens distortion handling to playback, preserving edge detail and improving stereoscopic 3D rendering.

Header-encoded temporal ID and level data let encoders identify sub-bitstreams with different frame rates for faster, more accurate video coding.

Adaptive MVD resolution switches between magnitude-based pixel precisions to cut signaling bits while preserving inter-block decoding accuracy.

Early rate-distortion thresholds prune unidirectional reference frame traversal in VVC, cutting inter prediction computation and speeding coding.

Non-refined motion vectors let adjacent blocks be coded in parallel before DMVR completes, cutting latency while preserving VVC prediction accuracy.

Control point motion vectors predicted from prior frames cut bit rate while preserving video quality in global motion coding.

Predicting coefficient signs and BDPCM direction cuts transmitted differences and improves video coding efficiency when transform skip is enabled.

Selective LFNST on eligible video sub-partition blocks improves transform index coding and compression efficiency without applying it everywhere.

Pseudo-affine pre-analysis improves inter-frame prediction consistency with the main encoder, reducing overhead and improving compression efficiency.

Multi-level significance maps assign context sets by coefficient-group region to cut flag coding overhead and improve video compression efficiency.

Disparity vectors and residuals reconstruct intermediate views without separate depth data, improving multi-view compression and decoder load.

Combining sample-based and subblock motion refinement improves video coding efficiency while limiting decoder complexity for bi-directional prediction.

Cross-component filtering uses reconstructed luma data to refine chroma samples before loop filtering, reducing video artifacts and reconstruction error.

Temporal sublayer properties carry scalability signaling in VVC bitstreams, enabling scalable decoding without dedicated scalability layer support.

Multiple vehicle image encoders pre-encode frames at different bit rates, enabling fast switching with lower latency and smoother video delivery.

Selective subpicture extraction across mixed video layers improves viewport switching quality while reducing decoder resource use.

Prefix-based SEI ordering clarifies message inclusion and improves image bitstream encoding, storage, and transmission efficiency.

Per-sub-picture level indicators let decoders allocate only needed memory and processing, improving coding efficiency without overtaxing resources.

Bit-shift quantization replaces division in JPEG compression to cut power use while preserving acceptable image quality in sensor nodes.

Log-gradient table lookup replaces repeated gradient comparisons to derive angular modes with lower decoding overhead and faster intra prediction.

Adaptive context models improve VVC partition entropy coding by using content-dependent probabilities and separate HBT/VBT handling.

Bitstream-indicated motion shift vectors refine temporal motion prediction for video blocks, improving coding efficiency without full motion vector signaling.

Selective IBC-LIC compensation improves video unit prediction and reconstruction to raise coding efficiency without unnecessary processing.

Geometric partitioning and angular weighted blending improve current-block prediction accuracy for HD and UHD video encoding and decoding.

Conditional picture-header syntax enables temporal motion vector prediction and reference list parsing for more efficient video decoding.

Boundary matching costs reorder inter prediction candidates to improve video coding efficiency while limiting merge and motion search overhead.

Motion sensors adjust inter-frame gaps and compression ratios to cut bandwidth and storage use without adding visible distortion.

Piecewise inverse scaling replaces costly video codec division with lookup, multiply, shift, and rounding steps to keep precision with lower compute and memory use.

Skips unnecessary AMVR motion estimation using predicted motion vectors and rate-distortion checks to cut VVC coding complexity.

Skip frames split workload between a base encoder and LCEVC layer, preserving video quality at high frame rates with lower power and chip space.

Flexible picture tiles cut bit costs and improve resource allocation by avoiding rigid full-frame rectangular partitions in video coding.

Selective MPM and TIMD application flags reduce intra prediction signaling bits while maintaining decoding accuracy and image quality.

Dynamic quantization adjustment in video transcoding cuts bandwidth cost while preserving subjective image quality across varying networks and terminals.

Weighted prediction and adaptive filtering use base layer texture frames to resolve the trade-off between coding efficiency and prediction accuracy.

A fast multi-rate encoding method exploits redundancy between highest and lowest quality video segments to limit Rate-Distortion Optimization.

A video decoding apparatus uses variably-sized quantization coefficient groups to process encoded data.

Adaptive multiple transform coding selects horizontal and vertical transforms based on block dimensions without decoding explicit syntax elements.

Backbone feature extraction and channel coding reduce transmission overheads while enhancing anti-noise performance in device-cloud collaboration.

Selective bi-directional optical flow processing on video sub-blocks based on distortion values.

A modified sample-adaptive offset representation uses bit shifts and truncated Rice codes to enhance video coding performance.

A block-based video decoding method uses prescan information to enable raster scan processing independent of coding unit order.

A motion prediction method scales candidate vectors by temporal distances to improve accuracy.

A prediction direction selection method constructs reference directions based on texture consistency to determine optimal coding unit vectors.

Reforming reference blocks via flipping and rotation improves prediction accuracy while managing computational complexity.

Signaling tile and wavefront parallel processing in a video parameter set reduces decoding delays by enabling early resource allocation.

Transmission device avoids referencing failed blocks in subsequent frames to prevent error propagation and maintain image quality stability.

Sub-block transform skip mode reduces computational overhead while maintaining compression performance through selective application of coding modes.

A 360-degree image encoding apparatus divides input images into regions and adjusts down-sampling ratios to maintain pixel continuity.

A backward warping view synthesis prediction method derives depth blocks from neighboring motion vectors to generate texture predictors for video coding.

A neural network post-filter removes overlap regions from adjacent input tensors to generate filtered video pictures.

Encoding spectrum modulation reduces data information in selected frequency regions to improve compression efficiency.

Video coder predicts chroma motion vectors from luma subsets, reducing memory bandwidth consumption and processing time for affine motion compensation.

Intra sub-partition residual signal encoding applies transform skip mode to optimize context models, reducing transmission costs for high-resolution images.

Generating refined reference frames by applying blur parameters to support inter-frame encoding.

Aligns tile boundaries across layers to enable parallel processing without waiting for complete reference layer decoding, reducing codec delay.

A quantization controller determines a uniform scaling list for chrominance components during adaptive color transform.

Transforming reference picture data counteracts spherical projection distortions, enabling redundancy recognition and reducing bandwidth consumption.

Modifies access unit delimiter semantics to indicate slice types within multi-layer video streams.

Demultiplexer splits encoded bit streams into independent sub-streams for concurrent entropy decoding.

A video encoding apparatus applies a first transform to residuals and a second transform to low-frequency areas based on the first mode.

Dynamic maximum quantization parameter adjustment optimizes video coding efficiency.

A delayed duplicate intra-predicted picture serves as a reference frame for subsequent P-pictures in video encoding.

A video encoding method generates extension regions from adjacent face samples to support motion compensation across panoramic boundaries.

Segment in-loop filtering parameters into distinct NAL units to enable parallel processing and reduce decoding latency.

Feedback circuitry supplies encoding indicators from previous frames to parsing logic, ensuring consistent parameter availability across video sequences.

Just-in-time transcoding reduces storage requirements by deriving lower resolution streams from scalable coded layers.

Encoding apparatus signals coordinate system relationships to integrate 3D objects as overlays in omnidirectional video bitstreams.

A chroma component modification method adjusts color values to prevent clipping during video encoding.

Recursive QTBT partitioning enables asymmetric binary splits to adapt coding tree units to local video characteristics while reducing signaling overhead.

A machine learning encoder segments video files into time-based chunks to determine optimized encoding parameters for each segment.

Image coding apparatus applies in-loop filtering to reconstructed samples via virtual boundary signaling, reducing storage costs for high-resolution content.

Template matching and model-based refinement derive precise motion vectors to reduce bitrate overhead in video decoding.

A parametric adaptive loop filter derives coefficients from a parsed index to reconstruct high-resolution video images.

A video coder calculates gradient terms along prediction directions to produce intra-predicted sample values.

An OOB determination unit identifies reference blocks requiring processing by comparing coordinates with picture boundaries, reducing calculation loads.

A cross-component sample adaptive offset mechanism incorporates chroma data into classification to determine precise compensation values.

Deriving transform coefficients using zero-out blocks reduces data loss during high-frequency zeroing while increasing compression efficiency.

Neural attention module extracts spatial features from reconstructed luma and chroma samples to enhance intra-prediction accuracy.

Determining intra modes for video blocks coded with geometric partition modes to optimize bitstream generation.