Digital Video Signal Modification TRIZ Cases

Parallel intra block sub-partition processing reuses shared reference pixels to speed transcoding and decoding while simplifying reference management.

Context-adaptive decoding of split direction flags enables recursive multi-tree coding block partitioning with lower bitstream overhead.

Pixel-level gradients and offset vectors extend prediction compensation beyond uniform-motion sub-blocks in video encoding and decoding.

Quantization-based noise parameters let client devices add synthetic noise that masks video banding without raising bitrate.

Bi-prediction in the inter area of geometric partitioning mode improves image decoding efficiency while buffering motion information under set conditions.

Detecting spatial and temporal pixel-intensity difference patterns improves motion-region prediction while reducing video data transmission.

A two-level tiling scheme encodes mixed-resolution picture regions into one bitstream, easing bandwidth and memory limits in VR and teleconferencing.

Using non-adjacent block vectors in IBC merge and AMVP lists improves intra coding efficiency while keeping prediction checks position-aware.

Separate horizontal and vertical transform selection improves video block coding efficiency while lowering transmission and storage cost.

Large lossless coding units are split into smaller residual blocks to keep VVC coding efficient while avoiding codec complexity and decoder overhead.

When few pictures are referable, omitting reference list sorting data reduces redundant header signaling while preserving list generation.

A unified chroma block sizing rule uses SubWidthC and SubHeightC to support ISP coding across 4:2:0, 4:2:2, and 4:4:4 formats.

Early exit and error surface fitting improve sub-pixel motion vector refinement accuracy while reducing decoder-side computation and delay.

Pre-processing image data before Huffman coding raises lossless compression ratio, cutting video bandwidth without degrading image quality.

Splitting a coding block into L-shaped and rectangular regions improves video prediction accuracy while reducing data volume in encoding.

IC parameters derived from motion-compensated reference blocks improve prediction at object boundaries and raise video coding efficiency.

Dynamic coding group sizing for non-dyadic residual blocks improves bitstream conversion, bandwidth efficiency, and video compression.

Weighted top and left reference samples improve angular intra prediction when available references are unevenly distributed.

Restricting adaptive filter coefficients to sparse binary values replaces costly multiplications with bit shifts for efficient image filtering.

A slice-header flag lets the decoder infer the second reference picture list index, reducing redundant signaling and bandwidth use.

Splitting video blocks into sub-blocks and selectively refining each motion vector improves motion compensation accuracy without excessive coding overhead.

Independent HRD parameter encoding in buffering period SEI messages enables early parsing, improving video coding efficiency while reducing processing load.

Constant block partitions and palette indices cut bits for same-color regions, reducing video bandwidth while preserving color accuracy.

ROI-based foveated readout removes inactive pixel data and orders frames by region to lower latency, bandwidth, and power in AR sensing.

Shared intra prediction modes and LFNST matrices across sub-partitions improve transform index coding for high-resolution image compression.

Selective signaling of regular and extended merge modes improves motion prediction efficiency while preserving image quality in HD and UHD video coding.

Complexity-based chunk boundaries keep distributed video encodes out of hard scenes, improving rate control and reducing visual quality gaps.

Symmetric pixel padding reuses sub-picture boundary handling so ALF can work at raster-scan slice edges without cross-slice filtering errors.

Uses CCP merge candidates with intra prediction to improve chroma block reconstruction precision and video decoding efficiency.

Limiting and selectively allocating BVD magnitude prediction symbols improves video compression accuracy while reducing signaling overhead.

Triangular geometric partitions and limited motion vector comparisons improve HD and UHD video coding efficiency while preserving image quality.

Adaptive boundary-only OBMC improves affine inter prediction by preserving coding efficiency while reducing encoder and decoder complexity.

Flag-based mixed NAL signaling lets VVC subpictures change resolution independently while limiting overhead and decoder complexity.

Aspect-ratio-based intra prediction remapping cuts bits spent on unlikely directions in non-square blocks and improves video compression.

Adaptive bias values from decoded reference areas improve CfL chroma prediction, raising compression efficiency without sacrificing video quality.

Palette-compressed image data is serialized onto existing RGB lines to reduce bandwidth and power without adding chip-to-chip terminals.

Adaptive block bit-depth prediction cuts redundant video data by assigning local bit depths and converting decoded blocks to sequence depth.

Adaptive MPM-based intra prediction uses block shape and neighboring modes to improve coding efficiency and reduce HD image data volume.

Fractional-pel block vectors improve same-picture prediction in IBC and IntraTMP, raising coding efficiency for natural and screen content.

A software reference model replaces external codec tools, validating encoder hardware across multiple video codecs with less complexity and iteration.

Joint asymptotic boundary analysis helps a video decoder avoid over-filtering real edges while reducing block artifacts in reconstructed pictures.

A CNN penalizes redundant alpha across MPI layers to cut memory footprint while preserving high-quality synthesized views.

Bi-directional optical flow and weighted bi-prediction improve video block prediction for higher compression efficiency and image quality.

Dynamic palette bit-depth signaling cuts high-bit-depth video overhead by using 8-bit palette colors when full precision is unnecessary.

Variable eLTR retention lets encoders reuse recurring scene references, cutting bits while balancing memory use and error resilience.

Selective scaling in spatial and temporal motion vector candidates cuts encoding and decoding time while reducing prediction complexity.

Enlarged prediction blocks and partition-level error clipping improve temporal filter window error estimation for better video compression.

Conditional CTU sizing lets boundary sub-pictures use non-multiple dimensions, avoiding decode errors across varied picture layouts.

When transmission loss corrupts inter-frame blocks, panning motion vectors and zero residue help maintain accurate, continuous video decoding.

Inactive channels are removed or reconstructed with mean values so feature tensors use less bandwidth while preserving decodable content.

Merging adjacent reference blocks into a single region lowers memory bandwidth and system costs while maintaining motion compensation quality.

A video coding method relaxes cross-layer alignment restrictions for subpictures using reference picture resampling.

A decoder evaluates cost criteria to enable motion vector refinement techniques for video blocks.

A video encoder uses a single frame buffer with zero motion vector algorithms to reduce chip area and power consumption.

Adaptive intra prediction mode selection resolves the trade-off between device complexity and compression efficiency in 4:4:4 video encoding.

Determines differential quantization parameters from block statistical information to enhance image compression efficiency.

A decoder configuration method selects compatibility grade settings based on priority levels to optimize decoding parameters.

Encoder switches video bitstreams between full-frame and sub-frame resolutions based on available wireless transmission bandwidth.

Optical flow estimation generates co-located reference frames to resolve non-translational motion capture limitations in video compression.

Adaptive intra-refreshing biases coding unit prediction modes based on temporal distance from reference frames to reduce I-pulsing artifacts.

A multi-thread video decoder assigns tasks to hardware threads based on dependency analysis.

A quantization apparatus sets scaling lists with values appropriate to current block sizes to optimize coding efficiency.

Block level motion prediction merges sub-block data into single block predictions, reducing memory bandwidth and division operations while maintaining accuracy.

A video encoding apparatus merges reference and reconstructed frame buffers into a shared memory space to reduce hardware costs.

A receiver system classifies video packets into critical and non-critical categories to optimize frame rendering decisions.

A video encoding terminal filters reconstructed frames to identify blocks with significant gains and transmits indication information to the decoding terminal.

Segmenting the transform into sequential steps reduces computational complexity while maintaining encoding accuracy.

A video processing method aligns syntax elements with decoder configuration values to ensure accurate signaling of profile tier level information.

Client devices predict skipped video frames using motion vectors, reducing latency and visual artifacts during packet loss.

Divides input pictures into sub-blocks to perform adaptive intra and inter prediction encoding.

Avoiding motion vector scaling by jointly selecting reference indices and lists improves prediction accuracy while reducing coding time overhead.

A context modeling method compares current node height and width against adjacent leaf nodes to determine split flags accurately.

Transform skip mode selects adaptive transform operations to resolve energy compaction inefficiencies in weakly correlated video signals.

Applies binary tree splitting to boundary portions in video coding, reducing small square coding units and lowering signaling complexity.

A data transfer circuit measures signal latency to trigger lossy compression, reducing volume and ensuring smooth exchange.

A video coding system estimates noise for candidate modes to maintain consistent visual fidelity.

A video encoding apparatus selects coding tools based on prediction modes and color depth to split coding units into prediction units.

Prediction refinement with optical flow calculates motion vector differences to generate final prediction blocks for video processing.

A hybrid coding split tree structure generates rectangular coding units using quadtree and binary tree segmentation modes.

A convolutional neural network processes video frames by retaining intermediate outputs to skip calculations for temporally static regions.

A motion prediction boundary check filters candidate blocks to limit inter-segment referencing within defined video regions.

Signaling virtual boundaries in video bitstreams disables in-loop filtering across those boundaries to prevent face seam artifacts.

A video encoding mechanism computes rate distortion values using statistically popular motion vectors to guide block selection.

A video encoder adapts temporal prediction structures to maintain scalability during scene transitions.

Adaptive reshaping preserves visual details in low bit depth video encoding by approximating inverse functions to reduce metadata complexity.

A video decoding apparatus predicts random access pictures and subsequent frames using bitstream information to enable layer switching.