Digital Video Signal Modification TRIZ Cases

Adaptive weighting candidates use neighboring prediction samples, then select the lowest-cost blend to improve compound inter-intra compression.

Neural prediction is enabled only for qualifying video blocks, balancing prediction accuracy with decoder processing complexity.

Manifest files let multicast cohorts receive one-time ad decisions and granular ad-zone changes without reconfiguring broadcast infrastructure.

Predictive coding uses neighboring blocks to signal adaptive filter indices with less syntax overhead and improved video quality.

Adaptive scaling parameters tune post-filter corrections by picture classification, improving reconstructed video quality and coding efficiency.

Inherited affine candidates from neighboring blocks reduce motion information while preserving high-quality video reconstruction.

Adaptive target bits and quantization parameters respond to frame complexity, reducing bit spikes and video-call freezes.

Block-size restrictions adapt ISP split signaling to neural intra prediction, improving accuracy while managing encoding complexity.

Template analysis ranks candidate transform sets for each video block, improving compression efficiency without explicit transform-set signaling.

A syntax flag activates neural post-processing to decode energy-aware video, reducing display energy while reconstructing the original image.

Variable merging-candidate lists and independently decoded indices improve packet-loss error resistance during image coding and decoding.

Neighboring coding units with sub-pel precision supply selective ITMP candidates, improving prediction while limiting decoding complexity.

Energy-aware metadata selects pre-processed or regenerated SDR content before HDR generation, reducing display energy while preserving QoE and artistic intent.

Motion vector data can be reduced through affine sub-block prediction, optical-flow refinement, and target-range clipping while preserving video quality.

Geometry-based ordering prioritizes neighboring video blocks in merge, AMVP, and mode candidate lists to improve compression efficiency.

See how candidate lists use block vectors from intra- and inter-coded neighbors to improve prediction accuracy and video compression.

Learn how a dedicated SEI message carries text comments, language, purpose, and persistence data alongside compressed video.

A video decoder selects inverse transform types by slice type and block size, applying non-separable transforms for low-delay decoding.

More than eight dependent-quantization states hide one bit through the last sample, improving video bitrate efficiency while maintaining reconstruction quality.

Combining inter and intra predictions with lookup-based weights helps video decoders improve block accuracy while limiting signaling overhead.

Derived weights from motion-vector differences and reference indices reduce explicit MHP signaling while improving video block prediction accuracy.

Flags and indicators manage non-decodable leading pictures, helping decoders support more access points for fast seeking and seamless stream switching.

Adaptive motion vector prediction separates picture-level collocated-picture indexing from slice-level reference lists to reduce repeated coding data.

A bitstream flag distinguishes raster-scan and rectangular tile groups, simplifying decoder parsing while reducing memory, processing, and network usage.

Conditional SPS parsing skips unnecessary sub-picture syntax when only one sub-picture is present, improving video decoding efficiency.

Top, left, and above-left neighboring blocks are ordered into a spatial merge list to improve VVC coding efficiency and compression.

Similar frames are detected before encoding, then duration-extension signals let decoders display them longer and reduce the encoded-frame count.

Collocated luma coding information guides chroma vector and mode derivation for improved chroma compression and reconstruction.

This coding approach uses POC data and non-reference flags to avoid incorrect picture ordering while reducing signaling overhead.

Channel-delay control activates adaptive bit rate feedback, tuning streaming quality and cellular data use to device and network conditions.

VVC decoders derive resampling ratios from signaled picture sizes or output dimensions, simplifying adaptive resolution changes.

Fixed clipping ranges add noise and reduce prediction accuracy; adaptive ranges tailor video coding to signal characteristics.

Skipping selected subblocks during affine DMVR reduces motion-search computation without substantially affecting coding efficiency.

Expanded prediction regions and QIdx-based sign sorting reduce explicitly signaled residual signs, improving VVC bit-rate efficiency while maintaining prediction accuracy.

Limiting context-coded bins by image bit depth reduces CABAC coding and decoding workload for high-bit-depth images.

Special reference pictures support inter-coded stream switching while preventing reference mismatches and limiting RAP bit-rate overhead.

Hybrid RDO uses original and reconstructed neighboring pixels to balance prediction accuracy, encoding speed, and hardware cost.

Limited mobile hardware and networks can process layered video more efficiently by signaling output layer sets and their operating points.

Quadtree nodes pack sorted occluded fragments into a disocclusion atlas, reducing transmitted data and filling gaps in synthesized views.

Presence flags and sub-picture identifiers let decoders process extracted subsets without inferring missing information, reducing processor, memory, and network resource usage.

Resetting the HMVP table with default candidates streamlines merge prediction and lowers video coding complexity.

Reference-block pixels and gradients drive bi-directional motion prediction, producing more accurate current-block values for efficient video coding.

Variable MIP flags select intra-prediction modes for target blocks, improving image/video compression efficiency and reducing transmission and storage costs.

Conventional coding uses one prediction direction; adjacent vectors from both reference lists improve candidate selection and compression.

Cross-face neighboring blocks help code frame-packed 360-degree video at face boundaries, improving compression while preserving spherical continuity.

CU chroma QP offsets carried in transform-unit syntax support residual decoding when the first transform block has no non-zero coefficients.

Template matching refines intra-block-copy vectors at adaptive precision, improving prediction accuracy while reducing redundancy, bandwidth, and storage needs.

The decoder selects identity or non-identity transforms by block size, then adapts coefficient level coding to improve video compression efficiency.

Refining and reordering motion candidates with DMVR improves video coding efficiency while removing redundant candidates from the list.

Combining deblocked and neural-network-filtered images by block-level strength reduces visible block noise even when NN filter strength is zero.