Digital Video Signal Modification TRIZ Cases

Consolidating picture type flags into a unified structure reduces codec complexity and bandwidth consumption during random access point identification.

A deterministic bounding box limits reference sample retrieval during decoder-side motion vector derivation.

Video parameter set syntax structures signal common HRD parameters across multiple sub-layers to reduce encoder signaling overhead.

Wavelet decomposition packs high-resolution chroma data into lower-resolution video frames for standard codec compatibility.

A reconstruction information generating unit produces metadata identifying parameter values for RAW image processing.

A re-transcoding system processes only failing video segments while maintaining key frame alignment across multiple digital media files.

Deriving block vectors via template matching improves prediction accuracy while managing computational complexity through segmented candidate filtering.

A video processing method acquires inter-view motion vectors through parallel processing to restore multiview images rapidly.

Transforms point cloud data into 2D video frames with metadata to reduce memory usage while preserving reconstruction accuracy.

A sample-based angular intra-prediction method generates predicted samples using linear interpolation of adjacent reference pixels.

Depth intra mode coding prevents interference between prediction modes and transform trees by restricting node splitting when depth modeling mode applies.

A neural network loop filter adjusts video enhancement using meta learning to reduce compression artifacts.

A video encoder reloads its motion estimation search window at specific locations based on predicted object migration patterns.

A dynamic transcoder converts supplemental video content to match the primary stream format.

A neural network apparatus defines importance masks to identify critical parameters for selective finetuning.

A cross-component adaptive loop filter constrains coefficients to manage dynamic range.

A cross-component linear model predictor derives chrominance prediction parameters from luminance intra prediction modes.

A video coder determines block split policies based on width-to-height ratios to reduce bitstream overhead.

Convert open group of pictures to closed structures by re-referencing bidirectional frames to intra frames.

Encoder signals full picture order count when multiple long-term references share least significant bits.

A quadtree-based bandwidth compression prediction system divides macroblocks to optimize video processing efficiency.

Inferring conformance cropping window data from sequence parameter sets reduces processing cycles while maintaining precision.

Transforms quantization parameter differences into integers to generate compact binary sequences, reducing code volume while maintaining decoding simplicity.

A video coding apparatus applies a direct split mode to partition parent coding units into child units via a syntax element.

Rewrites network abstraction layer unit headers using metadata to generate decodable partial video streams, reducing decoding delays for viewport changes.

Decomposing a two-dimensional data array into one-dimensional marginal distributions reduces memory consumption while maintaining encoding quality.

A video signal processing method selects horizontal and vertical transform types based on transform block width and height.

A reference sample determining unit removes directional intra-prediction modes from an extended set based on aspect ratio constraints.

A chroma intra prediction method segments modes into a most-probable-mode list and remaining modes to enable flexible encoding.

A decoding apparatus applies quantization matrices to orthogonal transform coefficients after zeroing out high frequency components.

Deriving refined motion vectors from initial candidates to improve inter prediction efficiency in video encoding.

A time-discrete Kalman filter estimates model parameters using complexity measures and actual coding rates to approximate the rate-quantization function.

A unified disparity vector derivation method uses a subset of depth samples to generate vectors for Inter and Skip modes.

Bitmask arrays map quantized coefficients to bytemap values, eliminating loop overhead and reducing computational burden during video encoding.

Estimating actual intra prediction modes via neighboring blocks reduces bit usage by signaling difference values instead of absolute indices.

A video decoder selects processing modes based on motion vector resolution to reduce bitstream overhead.

Adaptive intra-prediction modes minimize residual errors for converging lines by interpolating peripheral pixels along variable orientations.

A video decoder calculates correlation values between neighboring samples and hypothesis blocks to determine accurate motion vectors.

A predictor generates affine prediction samples for subblocks using control point motion vectors to modify sample values.

Hierarchical bitstream flags control video coding tools to resolve compression efficiency versus data volume trade-offs.

A motion vector prediction unit scales reference vectors based on temporal distance to improve encoding accuracy.

STSA sample groupings resolve storage and transmission efficiency trade-offs by allowing selective decoding of video layers.

Deriving shift parameters from prior transform coefficients reduces signaling overhead while maintaining precision for high-bit-depth video data.

A stacked image sensor logic layer performs RAW data preprocessing before demosaic processing.

A GPU executes inverse transforms on point sprites representing coded blocks to reconstruct video frames.

Variable macroblock sizes adapt to pixel correlations, resolving encoding efficiency drops against device complexity increases in high-resolution video.