Digital Video Signal Modification TRIZ Cases

Averaging horizontal and vertical interpolations enables flexible rectangular block partitioning and improves video coding efficiency.

Adaptive luma-based filtering predicts chroma sub-blocks more accurately, improving image coding efficiency without excessive data growth.

Threshold-based split decisions limit non-rectangular image block partitions, reducing video encoding and decoding workload.

SEI messages mark leading pictures across decoding and output order, improving image compression efficiency while limiting bitstream overhead.

Gradient histograms narrow angular intra prediction candidates, cutting mode-search complexity while preserving coding accuracy.

Adaptive reference sample screening simplifies color component prediction in video coding while preserving accuracy when neighboring samples vary.

Parsing the MTS index from effective coefficient regions improves transform selection and boosts high-resolution image compression efficiency.

Downsampled reference areas and multi-tap cross-component prediction cut coding complexity while preserving chroma reconstruction quality.

Decoder-side motion estimation and combined inter-prediction modes improve video compression accuracy while cutting signaling overhead.

Texture and alpha layers are packed into video frames with metadata, improving MPI compression and preserving flexible novel-view rendering.

Independent template-based mode derivation for ISP sub-partitions improves reference sample use and video compression efficiency.

Hash and quality checks let a CDN discard perceptually identical video segments from redundant encoders, cutting storage and traffic.

Adaptive intra sub-partitioning improves image decoding across chroma formats by balancing compression efficiency with block-level complexity.

Weighted summation of bi-prediction and added reference blocks improves image coding accuracy while reducing signaling overhead.

Parallel convolutions with different kernel sizes improve loop filtering quality while keeping neural video coding and decoding complexity manageable.

Adaptive motion vector resolution improves video block coding and signaling efficiency by selecting resolution sets by prediction mode or POC.

Adaptive QP values across coding units and quantization groups cut video quantization distortion while keeping decoding efficient.

Selective PDPC refinement predicts color blocks only in key intra modes, cutting video coding complexity while preserving coding performance.

Mode-based chroma transform and scan selection improves residual coding efficiency while keeping luma and chroma scanning directions aligned.

Thresholded reference sample selection simplifies color prediction parameter derivation in video coding while preserving accuracy.

Predicted slice encoding performance guides frame-by-frame boundary adjustment to balance delays and speed in parallel video encoding.

Spatial and temporal correlation predicts HEVC CU splits early, cutting quadtree search complexity and coding time.

Regional motion candidate lists let video blocks be encoded or decoded independently, reducing inter-block dependency and enabling parallel processing.

Hierarchical intra prediction signaling adds plane-based block prediction to HEVC-style decoding without raising bitstream overhead or decoder complexity.

Boundary extension and sample wrapping improve motion vector prediction at frame edges, helping video codecs cut bitrate without hurting quality.

Frame-sampled spatial rate factors allocate bits across video layers to reduce distortion and keep quality consistent on different devices.

Selective motion vector refinement in geometric partitions improves video coding accuracy while limiting signaling overhead in GPM decoding.

A convolutional variational autoencoder predicts future video frames in latent space to improve accuracy while reducing compute.

Neighbor-based affine mode flags and merge candidates improve complex motion prediction while limiting bitstream overhead and coding complexity.

Maps neural intra prediction to regular modes so codecs improve block prediction and compression efficiency without breaking neighboring mode signaling.

Metadata-driven media fragments add or update tracks and sample entries without requiring a complete initial file description.

Bit-depth-aware weighted prediction syntax adapts HEVC encoding to 8-, 10-, and 12-bit video, improving prediction accuracy and reducing residual error.

Multiple intra-prediction modes within a block cut residuals and bitrate while keeping decoder complexity and memory demand stable.

Adaptive reference region selection and MPM grouping improve intra prediction accuracy while limiting mode derivation complexity in video coding.

QP-map scaling guides neural network filtering to cut video bit rates while preserving quality in HEVC and VVC coding.

Sliding-window frame updates help neural video coders sustain longer P-frame sequences with lower bit rate and controlled distortion.

Compact OLS DPB parameter indices let decoders manage picture buffers adaptively, cutting signaling, transmission, and storage cost.

Probe encodings build quality-rate models that tune bit rate, resolution, and codec settings for content-adaptive ABR streaming.

Spatially correlated decoder-side motion vector derivation reduces block boundary discontinuities while improving video coding efficiency.

A single picture header per picture unit aligns layer and temporal IDs, helping decoders find picture boundaries accurately in multi-layer bitstreams.

A unified syntax for text description messages adds captions or metadata to video bitstreams without separate signaling channels or heavy overhead.

Parallel autoencoders compress left and right stereo views together to cut latency and reduce network load without losing coding efficiency.

Combining affine motion from one reference picture with translational motion from another improves video prediction accuracy while lowering bit use.

Spatial neighbor prediction decouples mode inference from decoding dependencies, improving video block prediction accuracy and coding efficiency.

Weighted rate, distortion, and processor-cycle selection cuts encoding cost while preserving video quality for streaming.

By excluding layers that are neither output nor reference layers, this case cuts bitstream volume and improves multi-layer video coding efficiency.

Predicting residual sign bits from neighboring values cuts CABAC data volume while preserving image quality in video encoding and decoding.

Virtual-boundary signaling lets deblocking and ALF run across discontinuous image edges, improving compression efficiency and visual quality.

Position-dependent coefficient ordering and selective transforms improve non-square block coding efficiency while limiting processing complexity.

Selective signaling of slice and picture-header constraints in VVC bitstreams improves decoder compliance while limiting bitstream overhead.