Digital Video Signal Modification TRIZ Cases

Segmenting inter frames with temporal CABAC context updates reduces bit requirements and visual artifacts at tile boundaries.

A context-adaptive binary arithmetic coding method modifies symbol probabilities using previously coded data to simplify encoding operations.

A video encoder selects secondary transform cores based on intra prediction modes to optimize compression efficiency.

Encoding video streams with integer pixel ratios for seamless resolution switching.

A decoding apparatus determines an inverse non-separable transform set based on a modified intra prediction mode to process image blocks.

Dividing largest coding units into motion estimation regions reduces computational complexity and bitrate while maintaining video quality.

A video encoding apparatus selects a sampling manner for reference frames based on current frame resolution to reconstruct target references.

A transform selection method optimizes encoding performance for visual data arrays.

Derives spatiotemporal motion vector predictors from neighboring blocks to reduce computational overhead while maintaining compression efficiency.

Weighting out-of-boundary prediction samples improves coding efficiency by resolving reliability issues in HEVC and VVC standards.

A two-pass entropy coding process updates probability distributions using frame-specific histogram data to enhance video compression efficiency.

Conditional syntax element inclusion in video bitstreams reduces slice header complexity and improves decoding efficiency.

A hierarchy extension descriptor structures multiple enhancement layers within MPEG-2 systems.

An extension presence signaling flag controls independent parsing of HEVC extension functions, reducing processing complexity while maintaining adaptability.

Encoding apparatus uses pre-generated reference images for inter-screen prediction, suppressing information spikes during video-to-still switches.

A video optimizer adjusts quantization parameters per macroblock to reduce byte size.

A pixel-level reference counter tracks frame prediction to readjust the macroblock bandwidth map before encoding.

Estimating affine motion model parameters using gradients of motion vectors from multiple spatial neighboring blocks to improve coding efficiency.

A video encoder generates virtual temporal affine candidates using classical motion buffer data without storing additional affine parameters.

Calculates coefficient group sums to adjust target coefficients, resolving hardware overhead and processing speed trade-offs.

An image coding method applies a Low-Frequency Non-Separable Transform matrix to modify transform coefficients.

A video decoder restricts coding unit division by width-to-height ratio limits to reduce bitstream overhead.

Hierarchical syntax packing segments reference frames into candidate regions, reducing motion estimation complexity while maintaining accuracy.

A video codec divides pictures into constrained tile sets to enable independent parallel decoding across multiple processing units.

Template matching motion prediction eliminates motion vector encoding to reduce residual errors and improve compression efficiency in video blocks.

A video coding complexity prediction model extracts attribute features and frame difference images to generate accurate BPP values.

Extending generalized bi-prediction with decoder-side motion derivation tools resolves coding performance limits without increasing system complexity.

A scalable video codec aligns base and enhanced layers to prevent phase shifts during decoding.

A video encoding method determines block partition depth and mode using processing information from neighboring and reference blocks.

A motion image decoding unit changes cache fill read sizes based on extracted feature amounts to optimize memory utilization.

Adjusting PES packet length to exclude enhancement layer NAL headers, enabling legacy decoders to parse base layer streams without compatibility errors.

Determines an index for most probable intra-modes based on a natural order from reference blocks.

A prediction method adjusts a second index relative to a first index to derive motion information for image sub-blocks.

Adaptive chroma quantization offsets derived from temporal correlation analysis resolve compression efficiency trade-offs in varying video content.

An image processing apparatus determines reference vector usage to align motion vectors and increase skip block applicability.

A video coder omits delta quantization parameter signaling for dual tree chroma blocks to reduce bitstream redundancy.

Conditional video parameter set signaling reduces bitstream complexity while maintaining decoding accuracy.

A pre-process module remaps luma and chroma components onto separate data channels to enable adaptive encoding of digital images.

Inserts banding suppression metadata into video streams to enable reception devices to selectively apply processing and reduce artifacts.

A decoding apparatus manages decoded picture buffers across multiple video layers by monitoring base layer access units for specific synchronization events.

A video content system adjusts compression parameters using inter-frame and intra-frame quality scores to optimize perceptual fidelity.

A video decoding apparatus splits pictures into restricted and non-restricted regions to perform distinct intra and inter predictions.

An image processing apparatus divides partial areas into slices with unequal line counts to distribute encoding load across cores.

Segmenting transform matrices into sub-blocks enables efficient butterfly operations for non-power-of-2 video residuals, lowering multiplications.

Adaptive transform selection improves compression performance by resolving coding efficiency trade-offs against device complexity.

Defining a one-to-many relationship between description and mapping boxes reduces parsing complexity and data overhead.

Deriving combined linear combination parameters from independent and position-dependent sets improves video sample prediction accuracy.

Adaptive multi-hypothesis prediction improves coding efficiency by combining first and second predictions based on block size and motion characteristics.

Parsing syntax flags determines whether most probable or non-most probable modes apply, reducing device complexity while maintaining coding efficiency.

Advanced motion vector predictor lists incorporate non-adjacent candidates to diversify motion information.