Digital Video Signal Modification TRIZ Cases

A dynamic bit rate adapter adjusts encoding rates to match available network bandwidth.

A linear model computes local illumination compensation parameters using sums of absolute differences for video encoding.

Segmenting transform coefficients into subsets allows decoders to reconstruct images with increasing quality while adapting bandwidth consumption.

Segmented subpicture coding with localized in-loop filtering reduces hardware resource consumption while maintaining high visual quality.

Reception device reconstructs point clouds using temporal scalability information from geometry-based compression files.

Segmenting primary video into encrypted secondary streams increases payload capacity and detection speed without degrading bandwidth efficiency.

Extending CRI SEI messages with peak brightness values resolves decoding inconsistency across varying displays without increasing bit stream size.

Deriving shape-specific candidate lists for intra prediction modes resolves the contradiction between coding unit flexibility and compression efficiency.

Adaptive spatial downscaling reduces bandwidth costs by dynamically adjusting input resolution before encoding, maintaining visual quality.

A video hardware engine implements dynamic frame padding to optimize memory usage during motion estimation.

Two decoding cores operate in parallel using small-capacity buffers to smooth data flow and reduce external memory access.

Adaptive block-level illumination and color compensation corrects luminance discrepancies across camera views to improve compression efficiency.

Adaptive filtering of reference samples based on local area features improves encoding efficiency while reducing artifacts and device complexity.

A multi-format transcoding apparatus processes uncompressed and compressed ultra-high definition video signals using a unified HEVC codec architecture.

Remote cloud encoding shifts processing off local devices, resolving wireless channel interference and boosting transmission bandwidth.

Palette-based video coding encodes pixel indices using a color palette, resolving compression inefficiencies for discrete-tone screen content.

Viewpoint identification metadata segments media data streams, resolving complexity in multi-viewpoint omnidirectional processing.

Sequence parameter set flags signal virtual boundary filtering, reducing hardware resource consumption while maintaining visual quality.

Applying decoder-side motion vector refinement to affine merge mode blocks resolves the contradiction between decoding complexity and motion vector accuracy.

Classifies desktop regions by change frequency to adjust image quality and compression factors, resolving bandwidth constraints in remote display environments.

Segmenting GAN-based residue coding from motion prediction resolves the trade-off between perceptual quality and computational complexity.

Motion vector prediction apparatus selects candidates from discontiguous spatial blocks to enhance coding efficiency.

Pixel domain inverse tone mapping resolves decoding complexity and standard compatibility issues in scalable video bit-depth scalability.

Separate color channel quantization branches map indices via joint entropy encoding to reduce motion blur and ghosting effects.

Pre-filtering pixels with encoded offsets reduces ringing and banding artifacts while maintaining texture detail in flat and textured regions.

A non-local adaptive loop filter processes video patches to reduce compression artifacts.

Estimating quantized DC coefficients from neighboring blocks reduces encoded file size by up to 5.75% while maintaining the standard format.

Line buffers with adaptive encoding resolve the contradiction between reliability and real-time performance.

A video line buffer packs data blocks from multiple channels into shared words using virtual channel mapping to balance block sizes.

Dynamic band selection reduces SAO parameter bits by targeting specific pixel classes.

A hybrid parallel decoder splits JPEG processing between CPU and GPU to accelerate entropy decoding.

Motion vector estimation apparatus selects reference blocks using sum of absolute difference values to determine accurate motion vectors.

A 3D video data stream uses a ViewOldxList table to associate reference views with camera parameters for efficient signaling.

A sub-partitioning method configures independent prediction modes for image blocks to improve coding efficiency.

Deriving context indices from transform unit size reduces entropy coding complexity and eliminates unwanted contexts in video encoding.