Digital Video Signal Modification TRIZ Cases

SVC access unit analyzer pre-parses video streams to extract specific inter-layer data required by subsequent decoding layers.

A simplified matrix weighted intra prediction method classifies target blocks to unify processing across varying sizes.

A distortion estimator generates values from camera parameters to guide multiview video encoding.

A decoding method determines coding units based on block shape information to enable inverse transformation using adaptive transformation units.

Deriving intra planar mode candidates without checking neighboring blocks simplifies MPM list configuration and boosts compression performance.

Interval-based binarization models coefficient distribution to reduce bit usage without distortion, improving rate-distortion tradeoffs.

A video decoding method inherits parameter information from adjacent blocks to reduce syntax overhead.

A joint optimization method selects vertical and horizontal Pre-Sample Adaptive Offset parameters to minimize combined delta cost.

Dynamic spatial and temporal scaling of video segments reduces bandwidth requirements while maintaining signal quality during stereoscopic 3D transmission.

A decoding device reduces mesh vertex count using real-time simplification to lower computational load during 3D volumetric content rendering.

Palette syntax coding parses chroma quantization parameter offset indices, reducing transmission and storage costs for high-resolution video.

A video transmitter generates auxiliary bitstreams with full resolution chroma information for static regions in wireless display signals.

A picture coding device constructs a unified bitstream by sharing intra prediction mode information between luma and chroma signals within minimal coding blocks.

A moving image encoding device shares intra prediction parameters between luminance and color difference signals to reduce code amount.

A decision model minimizes distortion under rate constraints using a smoothness metric to ensure coherence between reconstructed video samples.

A block-characteristics quantization table adjusts DCT coefficients for image blocks to improve compression ratios.

Extends horizontal and vertical boundary pixel arrays to simplify intra prediction logic.

A generalized deblocking filter computes parameter values to minimize second derivatives across block boundaries for video frames.

A video decoding apparatus determines motion vector availability in adjacent blocks to generate predictors for current block prediction.

A motion vector predictor list construction method reduces computational overhead by simplifying candidate generation for small video blocks.

A video decoding apparatus constructs a candidate list of motion vector predictors using corner and side neighbors to reconstruct blocks.

Dynamic interpolation filter selection based on projection phase resolves trade-offs between prediction quality and encoding complexity in video coding.

Adaptive loop filter applies nonlinear operators to compensate for quantization errors in video data.

AEPIC method encodes structural discontinuities using geometric modeling to prioritize salient edge features.

Merging reference frames into an overlap frame improves compression efficiency for 3D point clouds without increasing encoding complexity.

A dual interpolation filter system applies distinct filters along perpendicular axes to generate prediction blocks from temporal pixel data.

A video coding apparatus selects deblocking filter settings based on block size to reduce artifacts.

Dynamic filter selection adapts processing complexity based on block characteristics, balancing coding cost against image quality.

An offset temporal motion vector predictor adjusts coordinates using spatial neighbors to improve prediction accuracy.

An encoding mode decision apparatus calculates temporal and spatial complexities to determine optimal modes.

An image decoding apparatus uses a prediction image generation unit to initiate intra and inter prediction processes earlier in the decoding pipeline.

An in-loop filter apparatus generates auxiliary frames from clustered pixel blocks to accumulate non-local correlations.

Partitioning wide field-of-view images into independent facets reduces memory and computing resource requirements for stitching high-resolution content.

A multi-hypothesis motion compensation method uses weighted averaging of multiple motion vectors to generate accurate prediction blocks.

Intra sub-partitioning mode partitions video blocks into sub-regions to improve prediction accuracy while managing increased device complexity.

Arithmetic encoders switch between operation modes to balance processing requirements.

Determines decoding contexts using selective neighboring block parameters to reduce memory usage in image processing.

Affine motion compensation techniques model complex video block movements using control point vectors to enhance coding efficiency.

A video encoding device limits block sizes based on detected noise distribution to maintain uniform image quality.

Multiple encoding modes adapt to coefficient distribution, reducing bit count and side information costs.

Setting unit transmits white level code to resolve dynamic range reproduction accuracy loss.

A compression module truncates redundant image data from an array camera focal plane to generate compressed streams.

An image decoding device generates multiple weighting coefficients with varying division boundary widths for controlled weighted averaging.

Applies loop filtering to partial frames using preliminary actions to reduce computational complexity and encoding latency.

A video coding system revises quantization parameters for artifact-prone slices to reduce visual defects.

An NVMe peripheral device houses dedicated video codec modules within standard SSD form factors for high-density deployment.

Identifying parameter sets using combined layer identifiers and base PPS IDs reduces average codeword length in multi-layer video decoding.

A video coding method refines prediction samples using gradient-based clipping operations to enhance processing accuracy.

Signaling quantization parameter adjustment values at the transform unit level resolves the trade-off between encoding complexity and coding efficiency.