Digital Video Signal Modification TRIZ Cases

A motion vector prediction method selects secondary candidate reference vectors based on calculated reliability scores to generate predictive motion vectors.

A frame interpolation method uses true motion fields and pixel-level layer information to generate high-quality video frames.

Continuous encoding pipeline inserts overshooting macroblocks into new video slices without flushing data, increasing encoder throughput.

Weighted angular prediction merges modes 2 and 66 via adaptive coefficients to reduce signaling overhead while maintaining accuracy.

A video decoder recovers lost frames using reference data and motion vectors to restore image quality.

A video encoding apparatus adjusts a quantization parameter based on input data size to generate output data with improved evaluation values.

A decoding device determines merging candidates from bitstream flags to reconstruct image frames.

A quantization module modulates the value of a quantization parameter based on the degree of randomness in video blocks.

Matching coding tree unit sizes across subpictures resolves bitstream conformance conflicts while improving inter coding efficiency.

Applying threshold-based offset values to video coefficients before bilateral filtering operations.

An image encoding device selects prediction parameters from basic or reduced sets for different unit groups to optimize data representation.

Size dependent inter coding segments blocks and clips motion vectors to reduce memory bandwidth and line buffer requirements for affine prediction.

A quantization unit applies frequency-specific matrices to weighted prediction errors in image encoding systems.

Dynamic motion vector predictor candidate selection resolves the contradiction between prediction accuracy and code length in moving picture encoding.

Segments syntax elements by frequency to balance compression efficiency against processing complexity and power consumption.

A video coding method determines predictive overhead from sampled frame sequences to allocate bit rates.

A decoding device derives prediction samples using first and second neighboring reference samples to reconstruct image blocks.

A bi-directional image decoding method combines reference blocks using weight information derived from a bitstream to reconstruct current video frames.

Direct frame delivery eliminates buffer latency and resource overhead while enabling adaptive bitrate adjustments based on discarded frame frequency.

A video decoding apparatus emulates reduced resolution for picture parts using specific syntax data elements.

An image encoder adjusts intra and inter slice line numbers to manage data volume during gradual decoder refresh processing.

A single-channel prediction metadata structure maps standard dynamic range video codewords to high dynamic range values using cumulative distribution function matching.

Bidirectional linear interpolation derives predicted pixel values from reference pixels, reducing data amount while maintaining image quality.

Wavelet transforms and gaze tracking prioritize foveated regions, reducing latency while maintaining frame rates.

A video processing method uses block vectors from non-adjacent neighboring blocks for prediction.

A multi-layer video encoding method generates an index of output layer subsets within a target set to enable efficient decoding.

Replacing mechanical intra and inter prediction with a neural network generator reduces processing burden while maintaining encoding accuracy.

Deriving most probable modes from base layer and neighboring blocks reduces system complexity while enhancing coding efficiency in scalable video systems.

Deriving motion vector candidates from non-adjacent coding units via a restricted area improves compression efficiency and video quality.

A video processing method splits basic processing units into sub-units to derive precise temporal motion vectors for motion compensation.

Initializing history-based motion vector prediction lists per coding tree unit row enables independent processing of video data segments.

A line determining section evaluates boundaries between neighboring blocks to selectively apply deblocking filters.

Uniform scaling lists prevent visual deterioration caused by mismatched luminance-chrominance parameters during adaptive color transform.

Adaptive loop filter adjusts filtering strength using quantization parameter variations to resolve precision versus adaptability contradictions.

A sparse predictive hierarchy network processes time-varying data streams using coupled encoder and decoder stages to generate predictions.

A video processor calculates a buffer stage value to dynamically select frame sets and adjust phase coefficients.

A system-on-chip merges a frame rate converter with a video codec to share motion estimation hardware.

Perceptual hash comparison identifies matching video frames from different viewpoints, eliminating slow pixel block analysis during camera switches.

An intermediate buffer decouples processing speeds between the quantizer and encoding section, resolving bit rate deviations from target values.

Segmenting candidate vectors into subsets reduces signaling costs while maintaining high prediction accuracy.

A video processing apparatus stores partial reconstructed pixel data in a small storage device to support intra prediction of subsequent blocks.

Consolidating constraint flags into a single syntax element reduces bandwidth usage by eliminating redundant signaling across coding units.

A mode decision algorithm uses down-scaled macroblock texture complexity to predict encoding modes for video transcoding systems.

Block-level illumination and color compensation syntax enhances multi-view video prediction accuracy.

Metadata defines rendering effect ranges for volumetric video objects, enabling user interaction within creator-specified boundaries.

Template matching on IBC merge candidates refines initial block vectors, resolving the contradiction between coding efficiency and computational complexity.

Applying a separable bilinear interpolation filter reduces clipping operations and power consumption during advanced residual prediction in 3D video coding.

A graph-based transform template reduces bit overhead by transmitting an index instead of full coefficients.