Digital Video Signal Modification TRIZ Cases

A video encoder derives texture prediction blocks using co-located depth map availability to enhance coding efficiency.

Adaptive perceptual transfer functions redistribute HDR and WCG video data to minimize quantization distortion from fixed coding mappings.

External processing of reference layer pictures reduces device complexity while maintaining compatibility with different coding standards.

Separate signaling for intra block coding merge candidate lists reduces data transmission costs while maintaining high-resolution image quality.

An image encoding apparatus generates residual signals between color components to improve compression performance.

Per-slice flags control temporal motion vector prediction to isolate errors and maintain encoder-decoder synchronization.

A video encoding apparatus derives prohibited transform lists from partition shape information to limit selectable transform sizes.

Processor selects quantization parameter via buffer metrics to avoid complex rate-distortion modeling.

Dynamic interpolation filters select reference samples to reduce rounding errors and enhance compression efficiency.

Independent multi-resolution coding segments video data into regions with varying quality levels to support high-resolution playback.

An embedded codec circuitry determines a refinement start position in a bit-plane based on a random number to refine un-coded bits.

A decoding apparatus derives temporal merge candidates from co-located blocks and generates prediction blocks using scaled motion vectors.

Selective duplicate checking of motion information list entries reduces computational strain and improves encoding efficiency in video codecs.

A video signal decoding method partitions pictures into tiles and slices to manage encoding operations.

Applies luminance-dependent signal processing to reduce visual artifacts in high dynamic range images.

A chroma reshaping method divides luma ranges into bins to generate maximal scale factors for forward mapping.

A video decoding device extracts a toolset indication syntax element from a configuration record to identify required decoding tools.

A remote display protocol client decoder detects video bitstream errors and requests an I-frame from the encoder.

Segments leading bins with context models and bypasses remaining bins to reduce computational complexity while maintaining coding precision.

Simulated predictors enable neural network learning of standard codec deterioration without altering parameters, improving subjective image quality.

Dynamic color difference transforms optimize low-entropy output for non-neutral white points, resolving compression efficiency trade-offs.

A video encoder calculates prediction samples for sub-blocks using shift operations on difference values to reduce computational load.

A video codec method splits Picture Order Count values into most and least significant bits to index long-term reference images.

Deflation and inflation transcoding methods reconstruct video streams using quantized delta coefficients derived from original estimated values.

A residual coding method applies rice parameter binarization to transform coefficients for efficient entropy encoding.

A moving picture coding device adapts motion information based on block size to optimize prediction signals.

A video image processing method performs half pixel estimation to identify optimal locations within a coding tree unit.

Adaptive buffer budgeting allocates compression costs per unit to switch between lossless and lossy algorithms for efficient picture buffer usage.

Intra prediction modes with various directivities reduce computational overhead while improving image compression efficiency.

A transcoding system dynamically adjusts media bit rate and resolution at the network edge to match user preferences.

An image processing device adjusts quantization steps and code amounts based on luminance intensity to optimize compression.

Dynamic selection of deblocking processes based on sample differences and motion vectors reduces device complexity while maintaining video quality.

Deriving weighted prediction parameters locally from block averages reduces bitrate overhead while maintaining high prediction accuracy.

Parallel motion vector list construction for video coding prediction units resolves serial processing bottlenecks to enhance compression performance.

Template-based intra prediction reduces computational complexity by applying mode selection only to blocks where it improves coding efficiency.

A profile level tier syntax structure uses a flag to control general constraint information signaling for efficient video data processing.

Weighted heuristics predict encoding performance to group frames, resolving hardware underutilization in parallel motion estimation engines.

A predicted picture generation method uses reference view depth information to map pixel blocks without requiring target view depth data.

A media encoding method compares segment bitrates against multiple range constraints to identify reusable encoded segments.

A moving image processing apparatus adjusts deblocking filter strength based on transformation block sizes to suppress boundary artifacts.

A view pruner removes redundant additional views from immersive video streams to reduce data redundancy while maintaining rendering flexibility.

Refining merge candidate motion data before GPM construction resolves the trade-off between coding performance and processing complexity.

A broadcast signal transmitting apparatus embeds specific service type indicators to identify and process 3D video data streams.

Segmenting discrete cosine transform coefficients by frequency allows applying truncated unary or exponential Golomb binarization to reduce bitstream length.

Central processing unit builds an index table in RAM to guide auxiliary processor frame decoding, reducing secondary storage access energy.

An asymmetrical deblocking filter adjusts coefficients based on local pixel errors to reduce value distortion in video blocks.

Visual quality assessment guides affine transformation selection, reducing encoding complexity while maintaining high compression efficiency.