Digital Video Signal Modification TRIZ Cases

Spectral decomposition and noise reduction refine block prediction from reconstructed neighbors, improving coding efficiency with less extra signaling.

Dividing large coding units into sub-blocks improves intra prediction accuracy, coding efficiency, and reference pixel buffer use.

Filtered current and reference templates improve video block prediction, boosting compression efficiency without degrading reconstruction quality.

Varying CCSO parameters by filtering unit improves reconstructed video filtering quality while limiting bitstream signaling overhead.

Using neighboring samples and gradients, this case refines subblock motion vectors to improve video reconstruction without added memory cost.

Bitstream signaling of subpicture size and conformance windows lets decoders infer CTB splits at non-multiple boundaries after rearrangement.

Separate coding of significant and consecutive low-value MCA coefficients improves compression efficiency while preserving mura correction accuracy.

Look-ahead features and a neural model predict QP for intra and scene change frames, improving frame size control and video quality.

On-demand transcoding replaces stored bitrate ladders, cutting video storage and bandwidth while matching each client’s codec and network conditions.

Extended track selection and track group boxes move CMAF switching set signaling into ISOBMFF and support hierarchical track grouping.

Padding out-of-boundary reference blocks with motion-derived samples improves temporal prediction quality and video coding efficiency.

Combining non-linear and linear chroma prediction modes improves intra coding efficiency and lowers bit rate without hurting video quality.

Neighbor-based affine mode signaling improves video compression for zoom and rotation while limiting encoding and decoding complexity.

Constraining intra BC reference blocks to stay within inner or outer search areas avoids split on-chip/off-chip memory access while preserving compression quality.

Context from prior flags, block sizes, and neighboring blocks cuts signaling overhead in recursive intra region video coding.

Multiple direct chroma modes are derived from luma prediction and de-duplicated against default modes to improve coding efficiency.

Separable convolutions approximate multi-dimensional NN video filters, cutting compute load and memory bandwidth in coding.

Averaging two merge-mode motion vectors and pairing correction data expands prediction candidates while improving coding efficiency and decoding speed.

History counters are localized to CTU rows and synchronized between rows, enabling stable wavefront video decoding with parallel processing.

Resetting the HMVP buffer at tile row starts removes irrelevant motion vectors and improves video decoding compression efficiency.

Energy data carried through the streaming chain lets end devices request lower-consumption content profiles without limiting control to codecs alone.

Multiple filter shapes are selected per video block to improve filtering performance and coding efficiency without relying on one fixed shape.

A slice-header state flag signals picture header presence, cutting bit overhead while supporting multiple slices and clear picture boundaries.

Shared chroma residuals and adaptive Cb/Cr weights cut coding data while preserving image quality in video encoding and decoding.

Sampling-map motion vector prediction improves coding-block predictor accuracy while limiting extra data and coding complexity.

Boundary strength derived from adjacent CPR prediction modes improves deblocking at block edges while preserving compression efficiency and image quality.

Tuple-based DST-VII core generation cuts multiplication operations while preserving matrix-equivalent integer decoding results for video blocks.

Integer clipping and conditioned weights prevent accumulator overflow and preserve bitexact neural network coding across devices.

Selecting fG or fC interpolation filters from ISP status improves intra prediction efficiency while limiting block boundary artifacts.

Conditional slice header signaling omits redundant tile syntax elements, preserving decoder reconstruction while reducing bitstream overhead.

Separate non-VCL tracks for PH, APS, DCI, and OPI signaling reduce redundant VVC transmission and simplify decoder configuration.

Block-selective ICT improves RGB image and video coding by exploiting inter-component redundancy with lower complexity and low signaling overhead.

Selecting coding schemes from preceding image zone values cuts signaling cost and complexity while improving video compression.

CIIP-based block prediction improves video compression efficiency by reducing unnecessary signaling while balancing image quality and processing time.

Pixel-intensity-based deblocking adjusts β and tc in HDR video coding to reduce visible blocking artifacts without uniform filtering.

Tile-based texture and depth tracks let one stream support 3DoF and 3DoF+ rendering while cutting volumetric video bandwidth and transmission time.

Spatial-gradient PROF refines affine block prediction to improve compression efficiency while limiting motion estimation complexity in video coding.

A metadata box and configuration links let neural network bitstreams be stored and streamed in media files with better interoperability.

Short-term reference pictures and differential motion vectors improve bi-prediction coding efficiency while lowering signaling complexity.

Subblock-wise intra-prediction improves image coding accuracy by selecting adaptive block partitions and coding order with manageable complexity.

Selective template-matching reordering improves GPM coding efficiency for inter-predicted blocks while avoiding intra-prediction overhead.

Preserving AUD NAL units and filtering SEI messages by payload type keeps extracted VVC sub-bitstreams conformant.

Averaging merge-mode motion vectors and storing linked correction data improves prediction candidate selection with less encoding overhead.

Selective DMVD refines motion vectors only where needed, improving video coding efficiency and decoded quality without full decoding overhead.

Intra-block ARGB prediction combines DPCM, MED, and residual encoding to cut DDR image data traffic and power without losing pixels.

Geometry partition and HoG classifiers improve adaptive loop filter selection for reconstructed video blocks, reducing decoded distortion.

Template candidate lists let the decoder adapt intra prediction to quantization and block size, improving compression with limited processing.

Directional pre-processing preserves CTU boundary reference information, improving parallel video coding efficiency without losing intra prediction accuracy.

Neighbor-based merge candidate selection cuts prediction signaling and motion-information complexity while preserving inter prediction accuracy.

Using bypass coding for later CABAC bins cuts decoding complexity while preserving compression efficiency for syntax elements such as MVP and GBI.

Geometry-transformed reference neighborhoods expand template matching for intra-prediction, improving video compression with manageable complexity.

Filtered reference samples and inherited block parameters improve inter and intra prediction efficiency in video coding.

Sub-block partitioning and adaptive reduced-dimension non-separable transforms improve high-resolution image compression while limiting decoding complexity.

Adaptive reference regions and filtering modes improve intra prediction accuracy while limiting video encoding and decoding complexity.

Selective motion-candidate insertion and template-based refinement improve video coding quality while keeping prediction-list complexity manageable.

Similarity-threshold pruning removes redundant motion vector candidates before refinement, cutting video coding complexity while preserving prediction accuracy.

Simplified CIIP removes BDOF, shifts bi-prediction to uni-prediction, and unifies MPM handling to improve coding efficiency and decoding throughput.

A media-level VDII grouping structure avoids parsing every video track, enabling faster identification of tracks that share decoder initialization data.

Combined SAO flags signal common luma and chroma parameters to cut coding rate while reducing visual artifacts in reconstructed video.

Implicitly linking TU size to PU size cuts HEVC encoder complexity and signaling overhead while preserving coding efficiency.

Expanded spatial and secondary merge candidate lists improve inter-prediction and motion compensation for high-resolution video decoding.

Tailored transforms for L-shaped image partitions improve video compression efficiency while reducing encoding and decoding complexity.

Weighted multi-reference prediction improves high-resolution image coding accuracy while cutting signaling overhead in encoding and decoding.

A two-pass motion reconstruction flow prefetches reference blocks before decoder-side refinement, cutting memory latency for high-throughput video decoding.

Selective node splitting and motion compensation improve point cloud compression while limiting bandwidth, storage use, and decoding overhead.

Selective DMVR and BDOF flags at lower syntax levels cut decoding load while preserving picture quality and coding efficiency.

Quad-split intra subpartitions and a secondary transform improve coding efficiency, cut bit rate, and preserve local prediction modes.

Reverse last-significant-coefficient scanning cuts coding overhead and improves throughput for high bit depth, high bitrate video.

Block-based filter selection uses representative values from current and neighboring blocks to cut sample buffer needs while preserving image quality.

Non-differential coefficient coding and non-exponential clip index coding cut adaptive loop filter complexity and speed video encoding and decoding.

A two-layer point cloud codec separates lossy base data from lossless detail metadata to cut bit-rate while preserving reconstruction quality.

Adaptive MPM grouping and replacement of unavailable pixels improve intra prediction accuracy and video encoding efficiency.

A block map marks decoded blocks so image decoders reference only available neighbors, improving high-resolution compression and decode accuracy.

GCI syntax disables unneeded palette, intra, and transform features so video decoding keeps coding efficiency without extra processing.

Weight index derivation for bi-prediction improves video compression efficiency by refining affine merge motion candidates.

Dynamic non-zero coefficient limits let inverse LFNST decoding preserve coding quality while meeting worst-case multiplication constraints.

Decoded-block maps guide which neighboring regions are valid after block splitting, improving high-resolution image decoding efficiency and compression.

Boundary metadata added to free-view video files helps clients identify boundary cameras and render scene edges more accurately.

An edge server converts multi-view video segments on demand to match different display formats, cutting storage needs while preserving interoperability.

Motion vector offsets refine merge candidates to improve inter prediction accuracy and compression efficiency for high-resolution video decoding.

A reverse flag for last significant coefficient position cuts bitstream overhead and speeds high-bitrate video coding.

An encoder detects near-identical video frames and signals longer display duration to cut redundant encoding, bitrate, and encoding time.

Selective secondary transforms skip 4×4 and smaller video blocks to reduce coding complexity and memory load in high-resolution video processing.

Predefined scan-order partition assignment cuts tile and brick signaling bitrate while preserving flexible video coding layouts.

Non-adjacent video units expand IBC and IntraTMP candidate lists to improve coding efficiency without exhaustive template matching.

Obtuse-angle intra prediction improves reference sample use and coding efficiency for high-aspect-ratio image and video blocks.

Right-shift CCLM parameter derivation cuts table lookups, memory use, and hardware complexity in chroma prediction decoding.

Adaptive transform basis selection by block size cuts video coding load, processing time, circuit scale, and signaling cost.

Adaptive multi-tap CCSO uses neighboring luma samples to classify chroma offsets, reducing reconstruction error and improving coding efficiency.

Output layer set signaling lets layered video coding adapt picture resolution and reference resampling while cutting bandwidth and storage use.

Wide-angle modes for non-square blocks are remapped and selectively smoothed on neighboring blocks to improve video compression efficiency.

Segment complexity guides when a media server uses preemptive or just-in-time transcoding to cut playback delay without wasting compute.

Asymmetric sub-block shapes enable independent motion prediction within a video block, improving coding efficiency and lowering data cost.

Weighted reference samples and sub-block-specific intra modes improve high-resolution video prediction accuracy without excessive decoding complexity.

Dynamic candidate list updates reuse motion information across blocks to improve image compression and cut transmission and storage load.

Adaptive Rice parameter control and two-pass Golomb-Rice coding improve residual coefficient compression while preserving video quality.

Selective BDOF and PROF refinement improves image prediction accuracy while limiting bitstream size and decoding complexity for high-quality video.

Block-size and chroma-aware ISP improves image coding efficiency by lowering bitstream, transmission, and storage cost.

Selecting representative reference pixels improves color prediction accuracy while reducing model complexity, bandwidth, and outlier impact.

A multi-scale neural in-loop filter improves video coding efficiency while reducing filter complexity across luma, chroma, and slice types.

A core decoder and hyper decoder balance coding efficiency with lower model complexity and inference time in neural image compression.

Reusing HEVC transform-coefficient syntax for BCIM index maps cuts implementation changes while improving coding efficiency.

Adaptive scanning of motion vector predictor lists uses neighboring block context to improve predictor selection and video decoding efficiency.

Processing order metadata lets decoders apply dependent SEI post-processing steps in the intended sequence with lower runtime complexity.

Jointly coded motion vector differences with adaptive pixel resolution cut redundancy in compound inter-prediction and improve bitrate efficiency.

A parent-node neighbor threshold enables point cloud attribute prediction in more cases, improving G-PCC attribute coding efficiency.

Independent sub-pictures are assigned across decoder cores to balance pixel rates, boosting high-resolution video throughput with lower hardware cost.

Selective DPB emptying at CRA or GRA access points prevents buffer overflow and preserves smoother video playback during decoding.

Pixel-level gradient and offset compensation extends video prediction adjustment to variable motion vectors across unidirectional and bidirectional modes.

Multiple row control units share encoding resources to cut wait times, raise hardware utilization, and speed frame encoding.

Minimum block-size checks and a palette enable flag improve HD/UHD video compression efficiency while preserving image quality.

Adjusting output patch sizes near picture borders improves spatial extrapolation accuracy and decoding efficiency in neural-network video post-filtering.

CTU-aligned refreshed regions and constrained prediction improve random-access decoding accuracy without disrupting gradual video refresh.

Adaptive slope and offset updates improve luma-chroma correlation when CCLM reference samples are noisy, boosting video coding efficiency.

Object indication metadata lets decoders locate and decode only needed media segments, cutting full-file processing time and resource overhead.

Decoded frames are stored once and post-processed only at output, cutting video memory use and bandwidth for high-resolution codecs.

L-shaped and polygonal block partitions fit complex object boundaries better, improving motion prediction and video encoding quality.

A unified NN-based loop filter improves video coding efficiency and quality while limiting parameter candidates to control complexity.

Selective inverse transforms and weighted inverse quantization improve high-resolution video coding efficiency without fixed transform processing.

A unified right-shift offset replaces size-specific MIP parameters to cut lookup storage and decoding time while preserving prediction accuracy.

Flipping-based pairwise average BVP candidates improve intra-picture block prediction accuracy and screen content compression efficiency.

Neighboring template samples derive intra prediction weights without separate signaling, improving video coding efficiency and reducing overhead.

Adaptive loop filtering after up-sampling improves video coding efficiency while limiting picture-quality loss from dynamic rescaling.

Color format and chroma block size guide block splitting and prediction mode selection to improve image encoding and decoding efficiency.

Adaptive block vector resolution and sign signaling improve screen-content coding efficiency by enabling precise subpixel intra block copy.

Deriving second motion information from one motion vector enables BIO prediction while sub-group offset calculation helps control decoding complexity.

Reference status is moved from the NAL header to slice headers, cutting bitstream overhead while preserving scalable video decoding.

Conditional semantic syntax keeps haptic streams compact while preserving flexible effect signaling and timing sync with video tracks.

Adaptive scaling factor prediction improves JMVD coding for non-linear motion, raising compression efficiency without relying on linear motion alone.

Block samples are split by content so IBC and intra prediction can be applied separately, improving compression efficiency across varied video regions.

Different decoding precision for GOP reference and non-reference frames cuts decoder power use while preserving image quality where it matters.

Adaptive source statistic estimation adjusts arithmetic coding ranges across video slices to improve coding efficiency without excessive computation.

Previous decoded values guide binarization selection, improving arithmetic coding efficiency while reducing decoding and encoding computations.

A signaled TIMD flag lets the decoder derive intra prediction modes from reconstructed neighboring block templates to improve compression and video quality.

Layer-specific headers and bitstream units shrink deep learning models, cut DRAM access, and improve decoding efficiency and power use.

Mixed IRAP pictures let non-IRAP sub-pictures use reference picture lists, preserving random access while improving video coding efficiency.

Selective reference pixel filtering and interpolation improve intra prediction accuracy and encoding efficiency across image sub-blocks.

Partitioning a current block into partial blocks with separate intra modes improves video compression while balancing encoding complexity.

Deriving chroma block vectors from collocated luma coding improves separate-tree chroma reconstruction while reducing video data volume.

Adaptive Rice parameter signaling and two-pass Golomb-Rice coding improve residual coefficient compression while preserving video quality.

Parity and size flags streamline residual coefficient decoding, cutting bit use while preserving accurate video reconstruction.

Packing neural feature maps into aligned encoded blocks improves compression efficiency for faster transmission and decoding.

Dynamic clipping ranges reduce noise from fixed limits in encoded video, improving prediction accuracy and compression efficiency.

Adds inter-region merge candidates beyond adjacent blocks to improve inter prediction efficiency without excessive derivation complexity.

Affine seed vectors and subblock motion prediction improve video compression efficiency while limiting decoding complexity.

Adjacent video regions are merged across partition boundaries for one frequency transform, improving coding efficiency with limited signaling overhead.

Splitting video coding between network entities and sending encoded feature maps cuts bandwidth while preserving machine video processing.

Horizontal reading with scan ordinal comparison speeds residual coefficient encoding, supports varied scan patterns, and improves SIMD efficiency.

High-resolution video increases storage and transmission costs; reduced secondary transforms improve compression by rearranging transform coefficients.

An LPF LM chroma mode filters high-frequency luma content to improve cross-plane prediction and compression efficiency.

A video coder stores luma sums and averages during reconstruction, reducing memory reads and processing cycles for chroma prediction.

Omit unnecessary slice-header parsing in single-slice VVC pictures to reduce bitrate and complexity.

This image decoding case excludes non-output-layer picture units from CVSS access units to reduce layered processing overhead.

Derive sample-level motion vectors to improve prediction of rotated and zoomed video blocks.

This case separates motion-vector length and direction candidates to improve prediction accuracy while reducing video coding complexity.

A weighted sliding window refines CABAC context probabilities from recent bin values for efficient video entropy decoding.

Selective refinement and local illumination compensation improve prediction accuracy and coding efficiency in intra block copy processing.

This case adapts prediction parameters to chroma block sizes, improving compression efficiency for high-resolution image data.

Derive motion vectors from reconstructed regions to cut encoding data.

This case combines IBC, GPM, and template-matching merge candidates to improve prediction while reducing motion-vector data.

This image processing case skips invalid coefficient regions and scans valid data by block shape to reduce processing load.

Partially decompressed syntax elements give generative AI models compact training data for media compression and reconstruction.

This case uses gradients, variance, masks, and multiple scales to adapt encoding and decoding for better compression balance.

Weighted CIIP blends intra and inter samples to improve prediction accuracy.

This video coding case conditionally refines motion vectors for same-layer references and prevents cross-layer errors during decoding.

This video coding case aligns reduced boundary samples with MMU output and avoids averaging to lower encoder and decoder latency.

This case adds picture-level CPB parameters to PT and DUI SEI messages for accurate sublayer HRD decoding conformance.

AVM coefficient encoding splits value ranges, combining entropy coding with bypass coding to reduce computational intensity.

A joint delta motion vector serves both reference lists, reducing signaling data while preserving motion compensation accuracy.

This case unifies intra block copy with inter prediction syntax, reusing coding tools to simplify video encoding and decoding.

Conditional ACT signaling and lossless operations manage color-space changes while balancing bitrate, quality, and codec complexity.

This chroma prediction approach derives scaling and offset factors from grouped sample averages to reduce encoding calculations.

Prediction-mode-based filtering of reconstructed reference samples balances accuracy, memory bandwidth, and power consumption.

Adaptive MPM handling manages palette-mode coding complexity in video decoding.

Select buffer descriptions per picture or slice to reduce redundant coding information.

A state diagram monitors feed availability to switch between primary and backup streams, preventing output service disruptions from frequent switching.

A video coding system generates neighboring coding units using constrained intra prediction to create motion vectors.

An adaptive filtering mechanism selects between edge-smoothing and edge-preserve operations based on intra prediction mode angles.

A video decoder selects a reduced subset of intra prediction modes for small chroma blocks to lower computational load.