Digital Video Signal Modification TRIZ Cases

A chroma reshaping function transforms high-dynamic range video signals into compression-friendly formats.

Receiver determines optimal compression parameters for pixel blocks and feeds them back to the transmitter.

A depth map block encoding method applies a selected Depth Modeling Mode to recursive quadtree coding.

A video decoder applies post-processing to picture units using color component functions.

Depth-sorted tile blending reduces memory requirements and processing load during volumetric scene rendering.

Quadratic interpolation calculates prediction values from four reference samples to reduce filtering complexity while maintaining accuracy.

A recursive prediction unit mechanism splits coding tree units into hierarchical prediction and transform units for flexible encoding.

Linear combination of pre-calculated pattern vectors predicts digital image coefficient signs without full inverse transformations.

A filter unit selects coefficients based on block edge types to process reconstructed pictures.

Processor refines intra modes by computing simplified distortion and bit rate estimates, selectively merging blocks to reduce coding overhead.

Dynamic decoded picture buffer allocation adapts storage limits for intra block copy modes, preventing overflow when storing dual reference versions.

Constructing an MPM list via modular arithmetic reduces computational complexity while maintaining prediction accuracy for high-resolution video compression.

A method selects motion information candidates for image prediction regions based on neighboring block data.

A hierarchical video coding structure splits transformation units based on pattern information to optimize encoding granularity.

Rate-distortion optimization selects combined prediction to reduce distortion and improve precision.

A video decoder derives a context model using adjacent block flags and color indices to perform entropy decoding.

Inserting a network abstraction layer unit between primary and redundant frames allows non-adjacent decoding, preventing simultaneous loss during congestion.

A dependent random access point reduces bitstream size by encoding as a trailing picture using an independent reference.

Tiled light field modules form volumetric holographic displays that resolve the trade-off between low-cost 2D screens and insufficient viewer immersion.

A video encoding method processes up-sampled image data by changing sample values in the up-sampling region.

A video coding method selects transform operations based on the prediction mode to optimize data processing.

Segments prediction methods into intra and inter categories to balance accuracy against information volume while maintaining image quality.

A video prediction method uses non-orthogonal transforms to generate correction signals for directional structures.

Dynamic resizing adapts input dimensions to network layers, resolving the trade-off between data size reduction and picture quality loss.

Periodic cycling between active detection and sleep states reduces power consumption in portable meters while maintaining reliable watermark identification.

A decoding apparatus derives motion information via weighted prediction to generate accurate inter-prediction blocks.

Conditional signaling of general constraint information via a presence flag reduces the number of bits required for syntax structure representation.

Applying bit depth shifting to unequal weights improves prediction accuracy while maintaining low storage requirements.

Propagates intra-prediction modes across inter-coded blocks to eliminate explicit signaling, reducing bit rates while maintaining prediction accuracy.

A chroma prediction unit selects filters based on pixel location and color format to generate accurate prediction images.

A linear interpolation intra-prediction method generates prediction samples by interpolating values from neighboring reference samples.

A video coding method selects transform matrices based on block characteristics to optimize compression operations.

Constraining intermediate data bit depth after initial resampling prevents computational complexity spikes from exceeding instruction set limits.

Inter-layer motion prediction reduces redundant data transmission in scalable video coding, improving compression efficiency across varying network conditions.

VR video streaming system segments viewing angles to reduce bandwidth occupation, minimizing motion-to-photon latency below 20 milliseconds.

Calculating cost function values for candidate block vector predictors resolves the contradiction between device complexity and compression efficiency.

Adaptive motion vector range constraints based on reference region sizes resolve the contradiction between flexibility and bit consumption.

Look-up table motion vector prediction maintains historical candidates to improve accuracy while reducing hardware complexity in video decoding.

A video decoder manages a common decoded picture buffer across multiple layers using layer-specific removal and cross-layer bumping.

An image encoding device acquires and stores subsequent pictures to complete a group of pictures during processing.

A motion vector decision unit segments frames into regions to calculate representative vectors for each area.

Residual scaling modifies neural network filter outputs to reduce distortion and optimize bitrate efficiency in video coding.

A video decoding apparatus determines block vectors to reference blocks within the same picture for sample reconstruction.

An apparatus determines inherited affine candidates from neighboring coding tree units to predict motion vectors.

Default block vector prediction reduces video signal redundancy by optimizing intra and inter prediction modes for improved compression ratios.

A scene-by-scene compression process allocates bits to individual video segments based on content analysis.

A subblock-based motion compensation method derives control point vectors to predict current video blocks.