Digital Video Signal Modification TRIZ Cases

A video encoding system prioritizes bit rate allocation for regions containing specialized constructs to maintain visual quality during compression.

Adjusting reference sample values by distance metrics reduces prediction errors and lowers encoding overhead in video compression.

A prediction mode determining method splits picture blocks into subblocks to apply uniform intra or inter modes.

A parallel hardware architecture groups syntax elements into independent processing units to accelerate bit rate estimation.

A subblock-based temporal motion vector prediction mode derives updated displacement vectors using offset information for precise video coding.

A flexible bin allocation mechanism distributes regular CABAC coding resources across video picture areas to optimize compression efficiency.

Segmenting video frames into reusable base layers and frame-specific enhancement layers increases frame rates while lowering processing time.

Predictive view decoding selects optimal navigation paths, reducing latency and storage costs for multi-view sequences.

Segmenting video frames into distinct visual elements allows tailored parameter selection for each region.

An integrated transcoder partially decodes and re-encodes bitstreams using hybrid transforms.

A video signal processing device quantizes input data into multiple gradations to reduce transmission load while maintaining display quality.

Segmenting tool configuration via indices and flags resolves complexity trade-offs while supporting diverse applications like VR.

Extending block size with boundary samples improves coherence of refined motion vectors, reducing residual energy and bits required for coding.

Randomized dithering applied during in-loop filtering modifies reconstructed samples to reduce visual banding artifacts.

A cascaded chroma reshaping method computes luminance and saturation scalers to adjust video signals.

Image coding apparatus derives motion vector predictors using reference picture type classification to adjust derivation schemes.

Task-driven neural networks compress point cloud geometry by conditioning encoding on specific tasks, resolving fidelity-volume trade-offs.

An encoding device corrects complexity measures for temporal scalable coding to maintain image quality.

Inter prediction unit uses spatial and temporal skip candidates to restore motion information, reducing data overhead while maintaining decoding accuracy.

A video encoder derives local motion estimation values using gradient images and padding to generate final prediction images.

A 3D video data processing method segments primary and secondary streams for broadcast transmission.

A deblocking filter classifies boundary areas using neighboring block activity metrics to select appropriate filtering strengths for reconstructed video frames.

Multi-type-tree framework applies dynamic partitioning to resolve coding efficiency bottlenecks when objects are centrally located within blocks.

Adaptive divisive normalization factors reduce data rates by 21% to 63% while maintaining structural similarity performance in compressed video streams.

Transparent electrodes in the liquid crystal layer detect capacitance changes to determine applied pressure values.

Region dependent mode checks neighboring block availability by location to improve prediction accuracy while managing decoding complexity.

Adaptive Hadamard filtering reduces dependency on neighboring blocks by generating extrapolated samples and applying position-based filter strength.

A multi-view video processing method generates interpolated images using source view depth components obtained at a lower frame rate than the source view images.

Implicit binary splits applied to video blocks crossing picture boundaries reduce bitrate requirements while maintaining compression efficiency.

A video encoder selects intra coding modes by evaluating processing performance costs associated with reference blocks to determine an efficient encoding order.

A 3D video encoding method shares search window pixel data across multiple view angles to reduce memory bandwidth demand.

A point cloud encoding method uses spatial grid structures and filling orders to process initial data efficiently.

A video splicer detects key position pictures and synchronizes presentation times to enable seamless stream switching.

A selecting unit chooses intra prediction modes for coding blocks by referencing neighboring block states.

A computing device converts run-length encoded image data by duplicating decompressed lines based on repeat counts to generate output in a target format.

Physical toy blocks represent programming concepts while an AI system analyzes their arrangement to determine code structure.

Traffic control drops frames based on bandwidth while motion interpolation restores quality.

Segmenting chroma blocks based on the luma partition tree allows vector inheritance, resolving bandwidth constraints while maintaining shape flexibility.

A transform block coding method constrains context-coded bins to reduce entropy processing overhead.

Selective bypass CABAC coding of motion vector predictor index bits lowers device complexity while maintaining compression efficiency.

A non-separable transform matrix decodes image signals by applying coefficients based on block dimensions.

Dependent random access points use temporal prediction to lower bit costs while maintaining error robustness in screen content scenarios.

A mode uniformity indicator signals prediction modes for video macroblocks, reducing redundant data transmission when blocks share the same mode.

Decoder-side motion vector refinement selectively applies bilateral template matching based on video block dimensions.

Signaling regions of interest and gradual decoder refresh improves random access and error resilience by allowing decoders to selectively process relevant data.

A coding mode decision algorithm determines a window around co-located macroblocks in the base view to select optimal modes for dependent views.

A coding device selects motion vector candidates using evaluation information from correspondence vectors.

Pre-calculated block hashes enable full-screen exhaustive search in under 1 millisecond, resolving high latency and CPU consumption bottlenecks.

A deblocking filter unit applies processing to pixels orthogonal to sub-block boundaries within a hierarchical block structure.

A subpicture sub-bitstream extraction process rewrites scaling window offset parameters to maintain spatial resolution consistency across video layers.