Digital Video Signal Modification TRIZ Cases

PPS signaling switches reference picture list construction between picture and slice level to balance decoding complexity, adaptability, and overhead.

Padding, zero-out transforms, and dyadic TU splitting improve non-dyadic block coding efficiency while limiting video processing complexity.

Using predefined and adaptive templates, this case cuts motion-vector refinement latency without waiting for fully reconstructed blocks.

Flag-driven merge offset coding refines motion information from block regions to improve inter prediction in high-definition video compression.

Pruned BVD candidates improve magnitude prediction and cut signaling overhead, helping video encoders and decoders compress blocks more efficiently.

Conditional SPS signaling of PTL, DPB, and HRD data cuts bitstream overhead while preserving reliable output layer set decoding.

SEI flags and confidence levels help decoders handle progressive, interlaced, duplicate, and mixed video content with less guesswork.

A bitstream flag distinguishes raster and rectangular tile groups, simplifying syntax while improving coding efficiency and decoder parsing.

Selective DMVR and BDOF use block size and bi-prediction weight index to raise coding efficiency without unnecessary decoding complexity.

Signaling only motion vector differences and bi-prediction flags reduces bit waste and signaling complexity in high-resolution video coding.

Residual prediction and decoder-matched intra mode selection cut residual and mode-signaling bits for better image coding efficiency.

Bitstream-guided first-mode selection narrows second-mode search to speed image coding while preserving prediction accuracy and reconstruction quality.

Selective recursive splitting of boundary blocks improves image-size handling, compression efficiency, and neighboring block use.

Multiple reference lines, sub-block prediction, and selective filtering improve intra-frame coding accuracy and efficiency for high-resolution images.

Channel attention, window attention, and GELU-based entropy coding improve optical-flow prediction for high-resolution, low-latency video compression.

Neighboring spatial or temporal blocks predict coding unit splits, reducing partition overhead while preserving high-resolution reconstruction quality.

Syntax elements constrain frame reordering latency so decoders can output reconstructed frames sooner in real-time video communication.

Cross-component residual models improve video coding efficiency and coding gain by exploiting luma-chroma correlation in video units.

Prebuilt MPM lists and conditional planar signaling improve intra prediction with multiple reference lines while limiting bitstream and signaling overhead.

Asymmetric deblocking across unequal image blocks cuts pixel value errors at discontinuous boundaries and improves subjective image quality.

New CRA picture types and decodability flags simplify container mapping while enabling smoother fast switching, editing, and adaptive video delivery.

Separating SPS and GPS in a neural point cloud bitstream improves compression flexibility, storage, and transmission for 3D data.

Weighted averaging of multiple reference-frame contexts improves video entropy coding accuracy while reducing signaling overhead.

Restricting NNPF SEI use to non-discardable pictures keeps encoder and decoder picture lists aligned while supporting efficient compression.

Bitstream signaling of MIP mode cuts VVC intra prediction complexity and storage needs while preserving encoding and decoding performance.

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

Picture- and slice-level reference picture list signaling reduces coding overhead while keeping inter-prediction adaptable to local blocks.

Sharp pest-trap images are split into tagged segments for reliable low-bandwidth transmission, then reassembled for remote swarming evaluation.

Adaptive AF4 and AF6 affine prediction cuts video coding complexity while preserving encoding efficiency for high-resolution, high-frame-rate content.

A shared bitstream flag combines block merging and skip mode to cut side information and residual transmission while preserving flexible picture subdivision.

Dependency-based parsing skips unnecessary transform skip and palette syntax elements to cut bit signaling and improve image and video coding efficiency.

Flag-based candidate groups and neighboring block modes streamline intra prediction, cutting non-MPM overhead in video encoding and decoding.

Overlapping wavelet coefficient groups let parallel channels decode image strips independently, cutting synchronization delays and cache misses.

Conditional signaling of chroma fusion merge flags cuts unnecessary bit overhead while preserving cross-component prediction accuracy.

Multiple estimated prediction modes let the decoder restore block prediction with shorter signals, cutting data volume and coding distortion.

Selective cropping, masking, and compression cut arthropod monitoring image size while preserving detection and identification detail.

An affine candidate motion vector list reuses neighboring control-point data to cut memory reads and speed video encoding and decoding.

Picture-area flipping and rotation improve compression for gaming and vertical video while keeping decoding complexity manageable.

Conditional DMVR and BDOF skip weighted prediction cases, cutting bi-directional decoding complexity while preserving image quality.

Block-size-based transform basis selection cuts unnecessary second transforms, lowering video encoding and decoding processing load.

Template matching reorders IBC block vector precisions to improve compression efficiency while limiting resolution selection overhead.

Decision-guided skipping of unnecessary motion estimation cuts inter-frame coding overhead and speeds compression with minimal rate loss.

VVC subpicture tracks and slice mapping keep immersive media files complete while lowering storage and transmission overhead.

Separate CABAC contexts for affine and other inter-prediction modes improve affine flag modeling and boost video compression efficiency.

Signals tile counts, slice heights, and cross-tile filtering flags to cut video decoding complexity while preserving precise picture partitioning.

Hierarchical splitting of boundary blocks handles arbitrary image sizes while preserving neighboring block prediction for better compression.

Subpicture flags and slice-based picture partitioning improve decoding and compression efficiency while lowering image transmission and storage costs.

Affine candidate motion vectors from neighboring blocks improve video block prediction accuracy and coding efficiency without sacrificing image quality.

Adaptive UBT, UQT, EQT, and ETT partitioning improves video compression efficiency while reducing bandwidth demand across diverse coding conditions.

A signaled indicator enables loop filtering only on reconstructed frames that benefit from it, improving decoding quality without wasted processing.

Dynamic QP setting uses image content, lossy bits, and buffer fullness to balance coded bit count with reconstructed image quality.

By skipping triangle PU flag coding when MMVD is active, this case cuts redundant parsing, coding resources, and bit overhead.

Metadata-guided neural post-filter tone mapping adapts to brightness changes while balancing video quality and decoder energy use.

Non-local and high-degree ALF taps use neighboring blocks and residual inputs to reduce reconstruction impairments and improve coding efficiency.

Histogram-based ranking of motion vector candidates improves inter prediction and video compression without heavy encoding overhead.

Dynamic transform type derivation improves TIMD merge coding by replacing inherited transforms when block conditions indicate a better match.

A complexity-scaled cost function balances bitrate, distortion, and decoder workload when selecting video block coding options.

Channel-scaled reduced feature maps use temporal context to encode and decode high-dimensional multi-scale data more efficiently.

Reference pixel availability and affine sub-block motion prediction improve image coding efficiency while managing candidate complexity.

Separate luma and chroma quantization by block subdivision to handle partitioning constraints, cut decoding complexity, and preserve video fidelity.

Noise-aware quantization and rate control improve video encoding on noisy natural content by stabilizing bit allocation and frame filtering.

Blending MC, OBMC, and intra samples in luma-mapped space lets GPM support intra-inter prediction with better coding efficiency.

Conditional parsing of source picture timing messages improves frame synchronization accuracy without adding unnecessary bitstream overhead.

Selective sign prediction by coefficient frequency cuts video coding cost and processing time while preserving quality in reconstructed blocks.

Adaptive transform modes for residual blocks improve video decoding quality and efficiency while limiting transmission and storage load.

Perceptual noise modeling, denoising, and post-processing improve coding efficiency while preserving subjective video quality.

Distinct cos-windowed sinc filters for uni- and bi-prediction improve video compression efficiency and decoding performance.

Cos-windowed sinc filters are selected by prediction mode and subblock size to improve motion compensation accuracy in video coding.

Predetermined neighboring-block checks build merge candidate lists in parallel, improving motion compensation efficiency in video decoding.

A safe encoder partition verifies decoded video against acquired data with loop filtering disabled, enabling deterministic safety checks.

Adaptive merge candidate selection adds bi-directional prediction options to improve image coding efficiency without fixed complexity growth.

Template-matched block vectors improve high-resolution image prediction and compression while limiting encoding complexity through sub-block processing.

Adaptive motion compensation switches between gradient-based block prediction and simpler sub-block processing to preserve coding efficiency.

Selective lossless flags let encoders preserve synthetic video regions without quantization artifacts while keeping lossy compression elsewhere.

Asymmetric quantization of CCSO sample deltas improves reconstructed video quality while limiting signaling and quantizer complexity.

Joint CbCr residual coding guides boundary strength at chroma transform block edges, improving deblocking efficiency and image quality.

Validating block vector candidates with reconstructed and unreconstructed samples improves video coding efficiency without relying on invalid references.

Direct buffer looping between decoder and encoder cuts memory round-trips, reducing transcoding latency and power use in battery-powered devices.

Diagonal triangular block prediction cuts split-direction and motion signaling complexity while preserving image quality in image decoding.

Selective difference prediction for CU subblocks improves intra prediction accuracy while limiting bitstream overhead and encoding complexity.

Limiting affine motion estimation range cuts memory bandwidth while stabilizing control point vectors in inter prediction.

Frame-level bit rate allocation matches video content complexity to improve compression precision, reduce distortion, and save storage space.

Selective deblocking at IBC block edges uses motion vector differences to cut decoding complexity while preserving video quality.

Adaptive boundary strength uses joint CbCr residual coding to deblock chroma block edges more efficiently in compressed images.

Selecting top or left reference samples and filtering only key values reduces chroma prediction complexity while preserving coding efficiency.

Selective MIP mode signaling in the bitstream cuts VVC intra prediction complexity, storage demand, and coding time.

Reordered high-level weighted prediction signaling cuts coded parameter volume and improves video compression while preserving picture quality.

Adaptive OLS DPB parameter selection improves picture management and inter prediction to raise coding efficiency at lower bit amounts.

Transform-type signaling lets encoded feature bitstreams adapt to changing extraction networks while preserving efficient AI-oriented decoding.

Asymmetric deblocking adapts filter coefficients across block boundaries to cut pixel errors and improve subjective image quality.

Block-specific directional LFNST improves inter-coded video compression by using gradients or GPM cues while limiting extra processing.

Cross-device frame correlation guides lower-overhead XR video compression reporting, cutting latency and resource use while preserving quality.

Selective DMVR refines motion vectors by block size and bi-prediction weight, improving video coding efficiency with lower decoding complexity.

Filter type signaling aligns luma downsampling with chroma sample positions, improving LM-mode chroma coding accuracy with limited bitstream overhead.

Conditional syntax parsing and default values help decode 4K and 8K video bitstreams with lower complexity while preserving image quality.

Filter control based on prediction accuracy and boundary continuity preserves object edges while correcting block discontinuities.

Switchable inter-component prediction improves multi-component video compression by adapting local color decorrelation while limiting signaling overhead.

Constrained guided CNN restoration improves decoded video quality after lossy quantization while lowering model complexity and resource use.

Preconfigured partition candidates and subblock coding order improve intra-prediction accuracy while limiting encoding complexity.

Subblock-based motion refinement reduces neighboring-block dependency, enabling earlier image decoding and higher throughput.

Nearest-even rounding in deblocking filters reduces block boundary artifacts while maintaining visual perception quality.

An image prediction encoding device generates averaged candidate signals to reduce computational overhead.

Using prediction signals from adjacent blocks as templates allows decoding to start before neighbor reconstruction finishes, reducing latency.

Asymmetric block partitioning adapts to zoom and rotation motions, minimizing residual differences to enhance compression efficiency.

Sorting depth map elements reduces bit costs by encoding differences instead of raw values, improving 3D video coding efficiency.

Sequential compression passes resolve the contradiction between image quality and network bandwidth by enabling fast delivery of high-fidelity texture images.

Image coding method selects arithmetic contexts based on sub-block position within a coding target block.

Decoder reconstructs full motion vector difference using partial bitstream data and motion vector predictors to reduce signaling bit cost.

Source device calculates color code corrections during compression idle periods to restore image quality without re-encoding at the sink.

Syntax structures embed projection parameters to resolve compatibility between 360 and non-360 video processing.

A multiplexed channel transcoder combines video data from multiple sources into a single streamable channel.

A dynamic inter prediction unit control mechanism adjusts flag transmission based on smallest coding unit size.

A decoding apparatus derives motion vector predictor candidates from neighboring blocks and reorders them based on calculated costs to enhance prediction accuracy.

Deriving buffered transform signal approximations from significant coefficients reduces buffer size and bandwidth while maintaining rate-distortion performance.

Geometric partitioning divides image blocks into non-rectangular regions to apply distinct prediction schemes.

Dynamic threshold adjustment reduces computational complexity while maintaining prediction accuracy.

Selective pixel extraction reduces encoding complexity while minimizing boundary errors in multiview video synthesis.

Affine motion vector prediction derives subblock vectors from control points to resolve storage and accuracy trade-offs in non-translational video coding.

Frequency domain block matching reduces computational complexity and bitrate by adapting quantization to human visual sensitivity.

Reordering feature maps by relevance and spatially splicing them resolves channel discontinuity to improve compression efficiency.

Rearranging packet transmit times prevents bandwidth overflow and video glitches while maintaining stable decoding processes.

Encoder switches interlayer prediction flag encoding to reduce coded information volume and processing complexity in multilayer video schemes.

A decoding method sets template regions in reference pictures to calculate image correlation values and determine motion vectors.

A video parameter set syntax parses picture order counts to assign tiles and slices into access units within enhancement layers.

A deblocking filter applies adaptive strength rules at subblock boundaries to enhance video compression efficiency.