Digital Video Signal Modification TRIZ Cases

Filtered local reference samples simplify chroma linear-model prediction, cutting video coding complexity and processing time.

A signaled downsampling filter lets chroma-from-luma intra prediction improve chroma accuracy while keeping decoder complexity and overhead manageable.

A capped reference-point buffer improves point cloud attribute prediction while limiting memory use, processing time, and transmission volume.

Position-dependent prediction combination blends inter prediction with neighboring samples to improve compression efficiency with lower complexity.

Channel delay triggers mobile ABR and tunes bitrate from playback feedback to cut cellular data use without adding network infrastructure.

Slice-based reference frame updates improve point cloud coding efficiency and reduce inter prediction errors in multi-slice frames.

Temporal-distance scaling reuses neighboring vectors from different reference lists to improve motion prediction accuracy with lower search complexity.

A uniform offset parameter replaces size- and mode-specific MIP shift tables, cutting storage and processing time in picture coding.

A unified offset parameter replaces size-specific MIP right shifts to cut storage and processing time in picture coding and decoding.

A single down-sampling filter simplifies cross-component intra prediction across color formats while preserving accurate block decoding.

Position-aware ALF coefficient coding uses shorter binary codes to cut worst-case codeword length, bit rate, and decoding complexity.

Boundary sub-pictures can use non-CTU-multiple sizes, avoiding decoding errors while improving layout flexibility and resource efficiency.

Selected reconstructed search regions help Intra TMP find block vectors with lower coding complexity while preserving prediction accuracy.

Reduced secondary transform applies inverse RST to key coefficient regions, improving video compression efficiency without raising bitrate.

Interweaved affine prediction and CU-level OBMC improve video coding efficiency for zoom, rotation, and perspective motion.

Scaled DC coefficients across different transform block sizes improve video compression efficiency while preserving high-resolution image restoration quality.

Clipping and weighted filtering keep luma and chroma threshold ordering stable across bit depths, preserving consistent decoded image quality.

Conditional signaling of TSRC, dependent quantization, and transform skip flags cuts residual bit use while preserving image quality.

Compressed and serialized RGB image data cuts chip-to-chip bandwidth and power use while reusing conventional signaling lines.

Boundary matching selects video coding modes from neighboring block samples, improving coding efficiency while limiting redundant splits and complexity.

Future reference picture lists guide whether frames stay in chip memory or system memory, cutting video coding power and bandwidth use.

Directional search region layout improves intra template matching, cutting bit rate and processing load while preserving video quality.

By limiting reference lines per block and switching TMRL mode selectively, decoding improves compression efficiency without excess complexity.

Direct chroma block sizing from ISP and chroma format improves video compression accuracy while preserving picture quality.

Partitioning chroma blocks into sub-regions enables adaptive intra prediction modes that improve video coding efficiency and quality.

Sorting cross-component prediction models by prediction error cuts bitstream overhead while preserving decoder model identification accuracy.

Adaptive allocation of limited BVD magnitude symbols improves prediction accuracy while cutting signaling overhead in video encoding and decoding.

Angle-based switching between generalized and linear parallelogram predictors improves mesh attribute coding accuracy and cuts residue.

Luminance-gradient-guided motion compensation cuts prediction-block processing complexity while preserving video coding efficiency.

Adaptive sign prediction switches by transform skip mode to cut bit usage and computation while preserving reconstructed video quality.

Selective signaling and inferred merge flags improve motion prediction efficiency while limiting bit rate and decoder complexity.

Frame segmentation applies similarity or affine motion models by region to encode rotation, scaling, and shear more accurately with controlled bitstream data.

Reordered template matching and linear filtering improve intra prediction accuracy for screen content while limiting coding redundancy and time.

Attention-based latent tensor coding splits spatial and channel segments to build entropy models that cut model size while preserving visual quality.

Spatial extrapolation extends the field of view from decoded pictures to improve prediction accuracy and video compression efficiency.

Flexible QTBT partitioning adds symmetric and asymmetric block splits in JVET to improve coding efficiency with lower signaling overhead.

Candidate motion vector offsets are ranked by similarity to nearby pixels to improve video coding efficiency and image quality with less processing.

Consecutive picture and subpicture slice indexing simplifies slice headers, improving coding efficiency while reducing processing load and circuit scale.

Selective interpolation filters preserve edges during cross-resolution motion compensation, reducing artefacts and bitrate in video coding.

Copies MTSS and related transform flags from merge blocks to speed video coding while preserving compression efficiency and quality.

Neighboring CU prediction and match flags cut redundant coding-unit data, improving low-bitrate video compression efficiency.

Weighted sub-block intra prediction improves high-resolution video compression while limiting mode storage and reference derivation overhead.

Only selected neural network layers are trained and signaled in the bitstream, cutting coding overhead and training time while preserving picture quality.

Adaptive QP decoding across bitstream subdivisions separates luma and chroma handling to improve block flexibility and rendered fidelity.

Target quantization coefficients let the decoder derive SBT mode implicitly, cutting flag-bit overhead and improving coding efficiency.

Predefined sequence and geometry flags select probability models for point cloud entropy coding, reducing codec complexity while preserving efficiency.

Combining intra prediction modes with adjacent and non-adjacent reference lines improves chroma coding efficiency while limiting complexity.

Splitting video blocks into sub-blocks improves intra block copy coding for complex motion, boosting compression and decompressed video quality.

Filters candidate templates by coding block size so template-based video prediction avoids overhead, interference, and weak samples.

Multiple prediction signals are fused across coding modes and tools to improve video coding efficiency without separate prediction paths.