Digital Video Signal Modification TRIZ Cases

Reconstructing color and depth images to determine depth-based disparity vectors for boundary areas, resolving coding efficiency trade-offs.

Virtual motion vectors determine differential transmission to resolve image quality deterioration from limited storage in omnidirectional security cameras.

A video encoding method segments coding tree units to optimize intra-predicted brightness and chroma directions for improved compression efficiency.

Local multiscale transform distributes coefficients into groups with common exponents to reduce memory size while maintaining constant bit rate.

A video decoder predicts blocks by extrapolating neighborhoods along varying directions across each block.

A signal reconstruction apparatus uses a codec to define input signal likelihood, enabling accurate processing without dedicated noise removal hardware.

A scalable video coding extension enables adaptive resolution change by indicating specific picture types in the bitstream to utilize inter-layer prediction.

Interleaved video frame subsequences use redundant B frames to restore lost streams, minimizing decoder state recovery time and algorithmic delay.

Generates object-specific quality tiers to reduce bandwidth consumption while maintaining avatar data quality in multi-user extended reality environments.

A unified depth look-up table combines data from selected views to reduce coding overhead.

A hybrid reception device selects optimal video and audio components from broadcast and network sources using adaptive signaling.

Neural network block prediction eliminates lookahead buffering latency while maintaining high video quality and bit rate efficiency.

Kth order Exp-Golomb codes binarize palette-related sizes, improving coding efficiency while managing device complexity.

A tile-based encoding apparatus partitions video images to localize packet loss impact and restrict transmission to affected regions.

A memory system employs frequency value reduction conversion to accelerate adaptive entropy coding throughput.

A video decoder revises picture buffering parameters to guide a graphics processor in decoding current frames using specific reference images.

Dynamic block merging adapts video encoding structures to local content characteristics, optimizing data unit sizes and shapes.

Co-organizing a codec pseudo-identifier with supplemental processing information in media files.

Encoder selects error-free reference frames via decoder feedback to reduce error propagation distortion while maintaining bitrate efficiency.

Folded Hadamard transform circuits split large data blocks into smaller sub-blocks processed by shared hardware, improving utilization rates and lowering costs.

A video coding method segments quantization parameters to optimize bit rate and reconstruction quality.

A palette mode image encoding method constructs a palette table and index map using run-value information from a bitstream.

A bitstream processing device acquires auxiliary information to determine transcoding needs and generate a transcoded bitstream.

Segmented filtering applies stronger smoothing only to large coding unit edges, removing block artifacts without increasing complexity for normal regions.

A video encoding system dynamically adjusts processing parameters based on real-time resource utilization to maintain consistent frame rates.

A hybrid mode coding method divides image blocks into prediction regions to generate samples using combined intra and inter techniques.

An image processor identifies spatial continuity between opposite frame edges in panoramic video to replace pixel blocks with references.

An image encoding method transforms blocks into latent representations using invertible and non-invertible neural networks for entropy coding.

A power-aware video streaming system dynamically adjusts complexity levels and bitrates to conserve battery energy on mobile devices.

Hardware video encoders select motion vectors using candidate predictions and cost scores to maintain pipeline flow.

A video prediction refinement method adjusts internal bit-widths using right-shifting to align parameter precision levels.

A decoding apparatus scales motion vector prediction values to match block precision requirements.

A video encoder uses delta frames between intra refresh cycles to adjust frame counts and smooth bitrate output.

Encoder applies non-rectangular partitioning to generate prediction images by overlapping inter and intra signals.

Conditional LMCS syntax signaling bypasses chroma scaling parameters when chroma samples are absent, reducing bandwidth usage and enhancing decoding accuracy.

In-loop reshaping techniques optimize video coding efficiency through palette prediction modes and chroma residue scaling.

Boundary adjustment and spectrum modulation filter high-frequency components to resolve the trade-off between encoding efficiency and image definition.

Segmenting MPM list composition with offset operations on non-adjacent blocks resolves complexity constraints while expanding prediction mode diversity.

Transcoder bridges decoder and encoder formats using texture atlases for multi-dimensional video processing.

An image processing apparatus generates region information indicating object priority to transmit selected foreground data.

Down-sampling multiple reference lines before matrix multiplication reduces computational complexity while improving prediction accuracy.

Metadata fields convey potential splice point locations and decoded picture buffer machine states to resolve AVC coding complexity during local ad insertion.

A video encoder system divides frames into strips across multiple encoders to process high-definition content.

Video decoder selects adaptive parameter sets to filter pixel blocks, resolving complexity trade-offs by using pre-configured filters.

Reconstructs 360-degree images via projection rotation parameters, resolving compression efficiency and processing complexity trade-offs.