Digital Video Signal Modification TRIZ Cases

Audience measurement data drives dynamic computational resource allocation to minimize bitrate while maximizing video quality.

A decoding apparatus derives subpictures and slices from partitioning information to process image data.

A video decoder derives coded picture buffer removal times using sub-picture timing signals to support independent access unit processing.

Boundary-aware partitioning determines tree structure types for image blocks to resolve encoding efficiency limits in high-resolution video data.

Extracting syntax flags and indices enables frame restoration through temporal resampling, improving video quality while managing system complexity.

Restricting offset value candidates by bit depth reduces circuit size and power consumption while maintaining coding efficiency in image processing.

A video encoding method uses a pre-trained cluster model to perform adaptive spatial resampling based on extracted image features.

A decoding method determines lossless coding usage to generate residual samples and encode image information.

A flexible quantization technique varies parameters across spatial locations, frequency subbands, and color channels to optimize encoding.

Applying partial action to derive chroma residual scaling factors reduces processing latency by eliminating dependencies on full luma block availability.

Image encoding apparatus utilizing skip coding in intra block copying mode to enhance video compression performance.

A predicted block vector calculation method for multi-view video compression using offset and disparity vectors between co-located blocks.

Piece-wise linear predictor maps base-layer codewords above a highlights threshold to reduce banding artifacts in dual-layer HDR encoding.

Regression analysis creates granular lookup tables to select encoding parameters that balance fidelity index and signal size in real time.

A disparity vector construction method determines vectors using neighboring block motion information.

A filter controller adjusts deblocking application based on merged area positions in triangle merge prediction.

Segmenting frames into blocks allows parallel filtering operations, reducing memory bandwidth requirements while maintaining high-quality video output.

Encoder selects dynamic encoding profiles based on content attributes to resolve the trade-off between real-time encoding speed and output quality.

Fixed picture header placement extracts essential metadata to reduce transmission volume while maintaining high resolution video quality.

Gradient-based sample refinement on geometric partitioning mode blocks resolves the trade-off between coding efficiency and processing complexity.

A video picture encoding method performs cross-sub-region-boundary out-loop filtering on reconstructed panoramic images.

Conditional palette transpose flag signaling reduces bitstream redundancy when palette size is zero or all pixels are escape samples.

A motion-constrained AV1 encoding method limits prediction ranges to enable tile-based streaming of ultra-high definition images.

A video decoder infers subpicture positions from picture dimensions.

Projecting motion vectors from reduced camera views eliminates brute search computations, lowering processing loads in 3D video systems.

A line-based compression method uses spatial prediction to compute pixel residuals and selects variable length entropy codes for encoding.

A local illumination compensation method applies linear functions to predicted samples for video reconstruction.

Adjusting segment parameters redistributes codewords to resolve the trade-off between mapping precision and computational complexity.

A geometric merge mode partitions a current coding block into smaller subblocks to determine triangle partitioning directions.

Partitioning bitstreams into subpictures with independent parameter sets enables flexible decoding while maintaining compression efficiency.

A video decoding method uses sub-pixel disparity vectors for interlayer prediction to determine integer pixel positions in a reference layer.

Associates recovery point supplemental enhancement information with specific pictures within multi-layer bitstream access units.

Bidirectional intra-frame prediction weights left, upper, right, and lower reference pixels to resolve low accuracy from distant references.

A coded aperture imaging system uses a doubly-Toeplitz matrix to encode optical scenes into separable one-dimensional functions.

Adaptive step size selection in decoder side motion vector refinement improves prediction accuracy while maintaining compression efficiency.

Initializing context indexes and selective updates in CABAC decoding reduces computational complexity, accelerating video processing on multi-core platforms.

Reversing non-zero coefficient signs via binarized transform indices reduces bitstream overhead while maintaining transform selection accuracy.

Segmenting video, telematics, and environmental data reduces bandwidth consumption while maintaining immersive user experience quality.

A hardware acceleration device offloads motion estimation and transform operations, reducing CPU workload while supporting multiple video standards.

A unified convolution engine processes directional and ALWIP predictions using aligned 6-bit coefficients.

A single reference block predicts sub-blocks using corner motion information.

Frame descriptions with identifiers and storage location indicators enable loss detection without feedback channels, reducing perceptual distortion.

A video entropy coding method transmits counts of consecutive nonzero values followed by their data.

A decoding method derives modified transform coefficients by parsing an LFNST index based on effective coefficient presence.

Adaptive mode selection skips unnecessary rate distortion optimization to reduce coding time by 30%.

Segmenting disparity data insertion reduces transmission volume while maintaining viewer comfort by keeping stereo angles within safe limits.

A decoder derives indicator values for long-term pictures to manage reference data.

Pre-encoding current frames calculates costs to allocate intra frame bit rates accurately, resolving inaccuracies from large time intervals between I frames.

The apparatus segments pictures into tiles and uses virtual reference extension to resolve the contradiction between limited memory size and accurate motion vector search.