Digital Video Signal Modification TRIZ Cases

Adaptive boundary strength uses joint CbCr residual coding flags to deblock chroma block edges more efficiently in image decoding.

Filtered matrix-based intra prediction improves video coding efficiency by combining boundary downsampling, matrix multiplication, and selective upsampling.

Specific subpicture and reference list constraints keep decoding and output order aligned, reducing unnecessary dependencies in multi-layer video coding.

Adaptive CIIP mode selection and merge candidate refinement improve video coding efficiency without excessive coding complexity.

Common and sublayer-specific timing syntax reduces bitstream overhead while preserving accurate decoding and playback in multi-layer video coding.

Balancing bit cost with memory cost lets video encoders cut memory reads, power use, and latency while preserving real-time analysis speed.

Low-complexity DST7 and adaptive transform selection reduce memory and computation in video decoding while improving coding efficiency.

Neighbor-based candidate vectors confine motion estimation to a local reference region, cutting decoder load and memory bandwidth.

Reduced-bitdepth coefficients and sample values simplify cross-component chroma filtering while preserving VVC coding efficiency.

Using luma block classes to classify chroma blocks improves CC-ALF coefficient selection and boosts video coding efficiency.

Compact slice-type signaling in sequence parameter sets cuts redundant bitstream overhead while preserving decoder correctness and efficiency.

Luma-based classifiers and DPCM-coded chroma offsets improve cross-component video compression while limiting bitrate and memory overhead.

Non-adjacent spatial and temporal collocated candidates improve affine prediction lists for video blocks, boosting coding efficiency.

Virtual boundary rules guide sample classification in adaptive loop filtering, improving video compression while simplifying boundary handling.

Neighbor-based Rice parameter derivation shortens coefficient codewords and improves residual coding efficiency in video and image decoding.

Flat image blocks use varied intra prediction modes to break error propagation paths and reduce visible quality loss at region boundaries.

Clipping the quantization parameter before transform-based correction keeps QP in range, protecting PSNR and encoding efficiency.

Adaptive split mode reduction at picture boundaries improves coding flexibility while lowering signaling bits in multi-tree video encoding.

Phase-aligned chroma resampling preserves luma boundaries during equirectangular-to-cubemap conversion, improving 360 video compression.

Projection-slice AC energy and directionality classify 4x4 blocks for adaptive loop filter switching, cutting bitstream filter signaling.

IBC and string copy reuse decoded block and string vectors to cut video bit usage while limiting prediction complexity in decoding.

Using Cb and Cr together for sign prediction cuts sign signaling bits in JCCR video coding while preserving block reconstruction quality.

Conditional dependent quantization avoids costly transform skip and sign data hiding combinations while preserving practical image decoding efficiency.

Splitting a coding block into prediction units and deriving separate motion information improves inter-prediction accuracy while managing coding complexity.

Directional edge offsets with rate-distortion optimization improve HEVC frame quality while limiting impulse noise and complexity.

Padding dimensions are set from video unit characteristics instead of motion vector landing, improving coding efficiency and reducing bandwidth.

Alternative chroma filter signaling in adaptive loop filtering improves video compression efficiency while preserving visual quality.

Independent decoder-side refinement of affine control point motion vectors improves prediction block accuracy, lowering bitrate and decoding latency.

Scaling neighboring samples and upscaling reconstructed blocks cuts coding data volume while preserving image quality in intra decoding.

Virtual boundary position data enables adaptive intra refresh, improving frame division flexibility, decoding speed, and picture quality.

Adaptive correction tables refine base motion vectors with compact index signaling, improving inter prediction coding efficiency.

Adaptive resolution change signaling lets video streams switch picture sizes with accurate motion compensation and lower decoding complexity.

Averaging two merge-mode motion vectors and pairing correction data adds stronger prediction candidates for faster, more efficient video coding.

Reinitialized history counters by CTU row preserve Rice coding gains while avoiding WPP dependency conflicts in video decoding.

Different quantization matrices by block size preserve frequency control during zeroing-out, improving decoded subjective image quality.

Custom data is embedded in transformed coefficients with bit shifts, preserving signal quality and surviving compression or transcoding.

Dynamic resolution changes let adaptive streaming cut bandwidth use while preserving video quality across changing scenes and playback conditions.

Adaptive scale-factor signaling improves block prediction under local illumination changes while limiting video coding overhead.

Sequence-, picture-, and slice-level signaling enables selective scaling lists and low-frequency transforms to cut bitrate and decoding overhead.

Luma-based classification selects chroma offsets to improve video coding efficiency and bit-rate savings without fully independent chroma analysis.

Joint loop filtering parameters across multiple views cut inter-view redundancy and lower bitrate while preserving multi-view video quality.

Depth-based perceived angular resolution sets object-level encoding parameters to cut multiview 3D bandwidth and processing load while preserving image quality.

Parallel coefficient evaluation uses neighborhood statistics to speed real-time video encoding while preserving compression quality.

Reusing the luma MIP mode for co-located 4:4:4 single-tree chroma blocks cuts signaling overhead and coding complexity.

Template matching ranks motion vector resolutions by block, improving video compression while limiting bandwidth and storage growth.

Inherited and differential CCLM parameters cut signaling overhead while preserving cross-component prediction accuracy in video coding.

Geometric reference-picture modification improves inter prediction under global motion, raising coding efficiency and decoded image quality.

Refining block motion information from reference pictures improves prediction accuracy and decoding performance without excessive complexity.

Selective syntax flags let chroma blocks switch between DM and IntraDBV modes, cutting redundant processing while preserving prediction accuracy.

A learned post-processing filter uses codec-side auxiliary data to improve decoded video for machine vision without changing codec structure.