Digital Video Signal Modification TRIZ Cases

Reference region boundary correction unit removes coded intra block copy standard blocks from the referenceable region after coding completion.

An image coding apparatus switches between block-by-block and pixel-by-pixel intra prediction modes for reversible compression.

A coding scheme layer specifies color and additional image components together.

Parsing syntax elements determines secondary transform applicability, reducing operational complexity while improving compression performance.

A video encoding method selects optimal affine motion predictors from multiple candidates to enhance compression efficiency.

Group-wise skip entropy coding partitions video blocks to boost display stream compression throughput.

Dynamic truncation of the encoded enhancement layer optimizes bandwidth utilization while preserving visually important details.

Segmenting bitstreams into mandatory base and flexible enhancement layers resolves synchronization drift while adapting decoding complexity.

A decoding device derives temporal vectors via sub-block template matching to determine collocated blocks.

Segmented refinement stages reduce computational complexity while maintaining prediction accuracy in inter-prediction video encoding.

A video decoder signals operation range profile information using dedicated syntax elements for accurate interpretation.

A compound orthonormal transform embeds non-recursive bases into a recursive structure to unify DCT and DST logic.

Component-specific transform skip flags enable encoding efficiency for chrominance components without increasing decoding complexity.

A decoding apparatus scales in-loop filter offsets using derived values to adjust reconstructed pixels.

A processor calculates weighted average luminance values from video frame sub-regions to generate compact video signatures for content identification.

Dynamic switching between single-field and dual-field encoding modes reduces quantization artifacts while maintaining original horizontal resolution.

Palette mode coding indication signaling structures bitstream rules to reduce overhead while maintaining compression efficiency.

Configures an alternative Most Probable Mode list using neighboring block modes to derive intra prediction.

An image decoding apparatus splits blocks using bitstream information to determine quantization parameters and transform coefficients.

A video decoder selects processing engines using bitstream metadata to bypass start-code scanning.

A coding system determines preliminary and compensation predicted values using opposite reference lines to calculate target pixel predictions.

Replacing initial intra frames with skip frames reduces storage space without transcoding, avoiding processing time increases and quality artifacts.

A video error concealment mechanism transmits recovery data from different slices as out-of-band information to reconstruct lost blocks.

Entropy decoder converts quantization parameters to decode high bit depth video without modifying internal hardware structure.

A video encoder permutes residual data blocks before entropy coding to align statistical distributions with standard assumptions.

Packaging system creates live channels from pre-encoded assets using web protocols, eliminating expensive broadcast infrastructure costs.

A division-free bilateral filtering method replaces complex arithmetic with integer operations to accelerate video sample processing.

Configuring reference picture lists via slice headers improves encoding efficiency while managing processing complexity.

Context adaptive entropy decoding replaces unavailable neighboring block data with predefined values, reducing line buffer size and memory bandwidth usage.

Segmented candidate lists reduce bit-rate by up to 8.2% for screen content.

Conditional bilateral filtering smooths noise while preserving edges, resolving the trade-off between prediction precision and artifact generation.

Segmenting video frames into independent processing regions reduces implementation costs by limiting memory usage for pipelined decoding.

A video coding apparatus obtains a temporal and non-uniform compressive sensing sampling matrix to encode image data.

A JPEG accelerator stores context information in a direct access array and hash table to retrieve values for image coding.

An image decoding device applies overlapped block motion compensation to sub-blocks facing boundaries in geometric partitioning mode.

A channel fitting system determines optimal core counts for transcoding jobs using empirical testing data.

Affine motion vector prediction models complex video motions using control points, reducing bitrate overhead while maintaining high coding efficiency.

A predictor generates affine prediction samples for subblocks using control point motion vectors to compensate for complex object motions.

Multi-hypothesis inter prediction reduces bandwidth requirements by adjusting coding-control settings to derive motion candidates for efficient video encoding.

A video coding method selects specific reference samples from adjacent rows and columns to generate prediction values.

A data processing unit offloads image coding tasks to a JPEG accelerator using specialized hardware.

Signaling subpicture identifiers via NAL unit headers or slice headers reduces encoding complexity while maintaining decoding accuracy.

Reordering the motion vector candidate list places global motion vectors first, reducing signaling bits and improving compression efficiency.

A decoding device inversely quantizes data using a flat scaling list for transform blocks larger than 4x4 pixels.

Multitree subdivision shares coding parameters among collocated leaf blocks, reducing side information rate while maintaining adaptivity to picture content.

Deriving intra prediction modes via MPM candidates and filtering reference pixels to improve coding efficiency for high-resolution images.

A video processing apparatus constructs a merge candidate list using history-based affine candidates to enhance motion vector derivation accuracy.

A group significance map identifies non-zero transform coefficients to enable one-dimensional inverse discrete cosine transformation pruning.

Block-level rate distortion optimized quantization reduces processing overhead by applying selective control to intra blocks.