Digital Video Signal Modification TRIZ Cases

Segmenting the buffer into regions and applying selective clearing resolves error propagation while maintaining compression efficiency.

A video encoding method partitions current blocks into sub-blocks to derive precise motion information for template-based prediction.

An image prediction encoding device generates intra frame predictive signals from adjacent areas to encode residual pixel data efficiently.

Segmented buffer memory prevents reference picture overwriting during parallel decoding, maintaining pipeline efficiency for high-definition signals.

Dynamic network abstraction layer headers omit inactive scalable dimension syntax elements, reducing bit wastage while maintaining backward compatibility.

A decoding method generates multiple motion vector candidate lists to derive prediction blocks via weighted summation.

Dual region-wise packing boxes enable media bitstreams to support legacy and updated syntax specifications simultaneously.

Dividing large video blocks into smaller segments enables parallel processing using existing hardware logic.

A video decoder derives motion vector predictors from neighboring sub-blocks to reconstruct current blocks efficiently.

An image encoding method generates gram matrices from feature maps to reduce code amounts while preserving context.

Segmenting video blocks and modifying block vector differences to resolve compression efficiency versus implementation complexity trade-offs.

A unified merge mode candidate list combines translational and affine motion vector candidates into a single structure.

Threshold-based constraints on affine motion vectors reduce memory bandwidth requirements while maintaining video quality.

A block-based overlapped block motion compensation method evaluates sub-blocks for uniform motion fields to streamline video encoding processing.

Segmenting occlusion frames into functional and non-functional regions reduces transmission volume while preserving image quality at depth discontinuities.

A decoding method determines first and second reference blocks to perform inter prediction on current pictures.

Adjusts reference positions for last significant coefficients according to transform types and zeroing effects, resolving accuracy issues in video compression.

Deriving intra prediction modes using predefined planar templates resolves trade-offs between high-resolution accuracy and signaling overhead.

A context-based adaptive binary arithmetic coding decoder decodes multiple bins simultaneously using independent circuits.

A processor analyzes user gaze data to apply foveated rendering for virtual reality video streaming.

A cross-component prediction method derives weighted reference samples from split analysis templates to improve chroma block accuracy.

Zeroing out outer coefficients in the transform matrix reduces computational complexity while maintaining coding efficiency.

Prediction method utilizes reference node attribute information to encode current point cloud nodes.

Predicting scan region sizes from previously coded blocks reduces signaling overhead and improves compression performance.

A motion estimation block selects initial candidate inter-frame prediction modes based on feedback from a preceding mode decision block.

A video coding method segments target blocks into independent coding trees to reduce computational loads while maintaining quality.

Segmenting dynamic meshes into base structures and displacement data improves restoration quality while reducing vertex count complexity.

Relocating non-zero coefficients within coefficient groups reduces residual signal volume, lowering memory storage and processing power requirements.

A modified predicted block combines intra-directional and template reference blocks to improve prediction accuracy.

A wavelet transform engine compresses image data using frequency sub-bands and entropy encoding.

Temporal layering in scalable video coding resolves the trade-off between playback quality and device compatibility across varying frame rates.

A video coder determines additional information for unavailable reference pictures to check constraints.

Local adaptive offsetting de-emphasizes high frequencies to resolve the precision versus coding efficiency contradiction in video encoding.

Diagonal search directions and varied step lengths resolve insufficient coding efficiency in video motion compensation.

Segmenting macroblocks enables simultaneous processing, reducing encoding time while maintaining accuracy.

A lossless coding mode bypasses transform and quantization processes to reconstruct video blocks without data distortion.

A decoding method segments image blocks into sub-vectors to apply partial transforms, reducing computational load.

Clips prediction offsets to 16-bit ranges in video coding systems using optical flow refinement.

Arithmetic right shift on two's complement integers corrects prediction values, reducing computation complexity for high-resolution images.

Component-specific context models reduce signaling overhead for LFNST indices while maintaining perceptual quality.

A dual decoder system restores incomplete video frames using a secondary unit, preventing error propagation while maintaining low transmission delay.

A predictive encoding device selects candidate signals based on correlation to generate a smoothed prediction signal.

A compression system adjusts data size by removing least significant bits from image blocks.

A texture merging candidate derivation method for 3D video coding ensures consistent motion information inheritance between depth and texture components.

A reference region determination device adjusts buffer storage positions based on motion vectors to maintain encoding efficiency.

Segmenting chroma units into sub-blocks inheriting luma modes resolves compression inefficiencies caused by separated coding structures.

Selective in-loop filter bypass prevents distortion artifacts and maintains visual quality in lossless high efficiency video coding.

A reception apparatus generates data units at completion times across multiple communication paths to optimize re-order processing.