Digital Video Signal Modification TRIZ Cases

A coding apparatus identifies vector group member counts to determine maximum read data volumes for frame processing.

Applying a single filtering decision to all chroma components reduces computational complexity and improves compression ratios.

Rearranging pixel blocks by variation values enables targeted compression that reduces file sizes two to four times smaller than conventional archiving.

A decoded picture buffer allocates memory based on maximum picture resolution to support dynamic frame buffer adjustments.

Generating pseudo intra-predicted pixels allows encoding cost calculation without full decoding, reducing computational complexity in HEVC optimization.

Splitting the search space into initial and refined stages lowers computational complexity while maintaining estimation accuracy.

A codec calculates error images from decoded frames and adds them to subsequent inputs before compression.

A transform core pair selection method uses target reconstructed block location to determine encoding parameters.

Encoding transparency data as video stream channels reduces file size by over 50% without distortion.

Coding device selects filter coefficients based on propagation distance to predict pixels, resolving the trade-off between video data size and image quality.

Weighting gradient information against non-gradient predictors improves coding precision in high-motion regions without excessive complexity.

Predicts packet loss visibility using scene information to selectively drop less critical data.

A prediction dependent residual scaling method derives chroma scaling factors from luma prediction samples to maintain decoding domain consistency.

A filtering method processes non-IPCM blocks while preserving original pixel values of Intra Pulse Code Modulation blocks.

Decouples scaling ratio calculation from picture output to prevent mismatches between cropped and decoded frames.

Deriving transform settings from block processing eliminates explicit signaling, reducing bitstream syntax complexity.

Separating foreground and background objects via depth-based segmentation resolves motion vector blending errors while reducing computational power consumption.

A video encoder adapts quantization parameters in real time to limit frame sizes and reduce processing delays.

A signaling method embeds temporal identifiers in SEI messages to enable sub-bitstream extraction of motion-constrained tile sets.

A dynamic image encoding device derives motion vector predictors from adjacent blocks to calculate difference vectors for compact coding.

Picture-level syntax flags enable forced lossless coding, skipping deblocking filters to reduce bitrate overhead and prevent distortion.

Compressing blanking period data reduces bandwidth requirements, enabling high-resolution video transfer over existing HDMI and MHL links.

Video decoding logic enforces strict ordering between activation and characteristics SEI messages, preventing misplaced data during bitstream conversion.

Encoder metadata identifies distortion and resource levels to guide decoder switching between full and best effort video decoding modes.

Eliminates Transform Skip flag coding for CbCr chroma blocks by inferring Normal mode, reducing bandwidth usage and processing complexity.

Forcing quad tree splitting on boundary blocks improves coding efficiency and error resilience.

Disables multi-hypothesis prediction for small chroma blocks, reducing pipeline delays and memory access inefficiencies.

Joint attention mechanism processes reversed temporal sequences to generate unified spatio-temporal features.

A DPCM codec maps pixel samples to a transformed domain using modulo addition and biased quantization.

Image processing apparatus groups birdview streams into selectable tracks for reproduction.

Selective decoder side motion vector derivation improves coding efficiency by refining motion data without increasing computational complexity.

UMVE-based pruning expands motion vector candidates using distance and direction modifications to improve prediction accuracy.

The system compares extracted identification data with stored identifiers from the broadcast schedule to detect errors such as incorrect content ordering or insertion.

A video decoding method generates a merge candidate list using a motion information table to select candidates for motion compensation.

High-level syntax elements constrain transform skip modes for luma and chroma blocks, optimizing bit costs while controlling device complexity.

Concatenating motion vectors from reference frames creates trajectory information that improves prediction quality while managing encoding complexity.

Using a single converted disparity vector derived from maximum depth values reduces processing overhead and memory accesses during 3D video coding.

Refines sub-block motion signals via spatial gradients to resolve illuminance variation challenges in video coding.

Nesting flags resolve dependency management complexity by enabling flexible temporal level adaptation without increasing system overhead.

A video coder terminates motion vector refinement when bi-directional vectors fall below a threshold.

A video decoding apparatus determines chroma intra prediction modes by analyzing luma block samples at specific locations within the current chroma block.

A filtering module adjusts de-blocking strength at block edges based on skip-mode coding flags to preserve visual sharpness.

Segmenting target values across independent layers prevents interference between multiple hiding operations, maintaining bit-stream decodability.

Adapts motion vector wrap-around mechanisms to handle rotations and non-traditional tile arrangements in video encoding.

Selective bidirectional optical flow application reduces computation complexity while maintaining motion estimation precision in video encoding.

Pseudo residues predict original data by calculating differences between inter-view and pseudo reference regions, reducing bitstream volume.

Deriving disparity motion vectors via multi-list construction and function application enhances prediction accuracy in 3D video decoding.

A neural network predicts encoding parameters, reducing bit stream size and smoothing bit rate for I-frame access.

A video coder generates motion vector candidate lists for 3D-HEVC encoding by adding disparity shifted candidates to improve prediction accuracy.