Digital Video Signal Modification TRIZ Cases

A media encoder removes isolated high frequency residual coefficients to reduce bit usage.

A decoding method compresses motion vectors using bit shifting operations to reduce binary code size.

Deriving merge motion vector differences via index tables reduces bitstream size, lowering transmission costs for high-resolution video.

A perceptually aware online per-title encoding method extracts spatial and temporal energy features to predict optimal bitrate-resolution pairs.

A joint training method optimizes a codec network and task execution network using a combined loss function.

A motion vector predictor scaling method defines BlockDistance values for G and GB reference pictures in video encoding.

Signaling subpicture identification within sequence parameter sets prevents erroneous decoding caused by inadequate syntax element signaling.

Adaptive loop filtering applies zero offset when sample adaptive offset is active to simplify parameter estimation.

A video decoding method refines motion vectors by applying a unified reference picture for forward and backward compensation.

A scalable video encoding method uses motion vectors in a no-display frame to upscale regions of interest within a single stream.

A streaming video system modifies specific audio and visual elements based on user preferences to customize the viewing experience.

Encoder alignment system calculates picture data differences to synchronize redundant video streams without detailed image analysis.

A naked-eye 3D display system converts viewpoints using depth estimation and frame interpolation to generate composite images.

An image encoding apparatus adjusts quantization parameters based on block evaluation values to balance code allocation and visual quality.

Selective application of high dynamic range metadata to specific video scenes reduces data volume while maintaining luminance quality.

Encoding feature maps from intermediate cascaded layers into a bitstream resolves scalability bottlenecks by adapting data volume to content resolution.

Dynamic soft upper bounds adjust video data bandwidth within schedule windows to maintain quality while preventing buffer overflow in DOCSIS service groups.

A video coding apparatus applies variable chroma sampling formats to optimize compression efficiency.

A video encoding method applies merge mode with motion vector difference to generate prediction blocks for combined inter/intra and geometric partitioning modes.

Segmenting blocks into grids and extracting representative motion vectors reduces storage complexity while maintaining coding efficiency.

A video decoder parses sequence parameter set syntax to enable transform skip mode for direct residual quantization.

Advanced motion estimation reduces busload and memory utilization by segmenting search areas into partitions.

Extended taps utilize reference frames and current samples within adaptive loop filters to reduce artifacts while managing computational complexity.

A communication device assigns packets to multiple lines based on performance metrics to optimize chunk arrival times at the receiver.

A set top box detects lost IP packets and notifies the encoder to transmit independently encoded macroblocks for fast video recovery.

A transcoding control system adapts segment duration based on complexity signatures.

An image encoding method uses predicted values to shape conditional probability distributions for direct pixel value coding.

An edge-sensitive interpolation strategy drives sparse-to-dense motion field generation from coded video block seeds.

Gradient analysis on preceding pixel blocks selects intra prediction modes to reduce computational complexity and bitrate while maintaining encoding precision.

Indexing predefined output layer sets directs decoders to extract only necessary layers, stabilizing session initialization and reducing data consumption.

Gradient-based post-filtering adjusts predicted values using reference layer data to smooth block boundaries during intra prediction.

Boundary partition processing optimizes video coding structures using triple tree or asymmetric modes to maintain larger split blocks.

Processing circuitry infers MMVD merge flags based on DMVR and BDOF mode allowances to reconstruct video blocks without applying the MMVD mode.

An image decoding apparatus detects error blocks and sets motion vector information to zero for affected frames.

A super-resolution enlarger processes standard resolution moving pictures to generate enhanced signals for encoding.

Reversible compression-domain scrambling creates visual noise to prevent illicit copying while standard decoders restore original pixel quality.

Video coder determines motion vector predictors from non-adjacent blocks within a current picture, reducing data usage and improving compression efficiency.

Segmenting the IBC buffer into horizontal regions prevents wrap-around coding errors while extending the search range without increasing memory requirements.

A single inverse transform module processes even and odd column portions of 2n×2n and n×n blocks using shared coefficients.

Adaptive intra prediction filtering reduces local errors by adjusting strength to block size, improving image quality and entropy efficiency.

Palette predictor update method applies individual palette tables to sub-blocks within a coding unit.

Configurable depth map value mapping preprocesses depth data to enhance homography mappings and improve prediction precision.

A video compression system determines buffer fullness based on block position within a slice to maintain constant bit rate output.

Motion detection maps guide quantization adjustments to resolve compression efficiency and processing overhead trade-offs.

A rate control method for multi-layer video coding adjusts bit allocation using encoding statistics and region-of-interest data.

Shared high-frequency basis vectors reduce memory requirements while individualized low-frequency vectors maintain compression performance.

A video transcoding method adjusts parameters for key part regions to maintain expected image quality.

Encoding system applies Lagrange multiplier based on multi-scale structural similarity to select optimized prediction modes.

Processing circuitry divides video blocks into sub-blocks to derive precise motion information for improved coding accuracy.