Digital Video Signal Modification TRIZ Cases

A video parameter set signals bitrate and picture rate information for base and enhancement bitstreams in hybrid scalability decoding.

Block-level scaling constants rescale reference frames for prediction, reducing bitrate without re-coding intra-frames.

Context-based coding of a same-sign flag adapts sign bit encoding for transform skipped video blocks, resolving compression efficiency losses from sign bias.

Group-set significance signaling skips insignificant coefficients, reducing bitrate while maintaining coding accuracy.

Randomized manifest duration parameters and equalized variant sizes obscure identifying sequences, preventing collusion attacks on forensic watermarking.

Distinct syntax signaling for texture and depth data reduces redundancy while simplified illumination compensation manages computational complexity.

A prediction dependent residual scaling method derives scaling factors from luma prediction samples to scale residuals directly.

A video decoder uses a single buffer model to assemble access units from multiple elementary streams.

A per-title encoding method uses spatial and temporal resolution downscaling to optimize video bitrate allocation.

Dynamic selection of reduced secondary transforms based on prediction mode and block size improves image quality while minimizing signaling overhead.

A video accelerator adaptively selects inter-prediction modes based on available memory bandwidth to optimize reference window sizes.

Delta codeword encoding with sign flags reduces signaling overhead for high bit depth LMCS while maintaining image quality.

Dynamic guard band configuration signaling reduces bitrate and artifacts in 360-degree video encoding.

Nonlinear transformation optimizes bit depth allocation to reduce contour visibility, enabling wide dynamic range images without high-bit-depth hardware.

Reference data buffer stores inter prediction results to support non-inter operations during overlapping processing periods.

Virtual reference pixel generation fills unavailable data gaps while directional filtering minimizes prediction errors to boost compression efficiency.

Determines disparity vectors from neighboring block motion data for efficient inter-view prediction.

A video decoder predictor operates at higher precision than reconstructed samples to form accurate residual values for down-scaling.

A video processing method derives motion information from neighboring blocks to perform overlapped block motion compensation on current sub-blocks.

Partitioning image blocks into subblocks assigns specific projected motion vectors, resolving overlap zone ambiguity and reducing coding costs.

Signaling a BDPCM constraint flag based on current block size reduces bit amounts for signaling while maintaining image coding efficiency.

Partitioning pixel blocks near reference frame edges reduces smear artifacts by applying distinct coding modes to edge regions versus interior areas.

A decoding method partitions chroma blocks based on format information to acquire residual data via inverse transform and dequantization.

Selective subblock split signaling reduces signal transmission overhead by generating a pre-prunable range based on block size and partition count.

Asymmetric 3D lookup tables reduce computational complexity by allocating more segments to the luma component than to chroma components.

A decoder transmits power consumption control information to an encoder using Real-Time Control Protocol feedback messages.

Classifies screen video coding blocks into text and natural image types to filter candidate blocks for motion vector computation.

Expanding the intra encoding region during high motion minimizes bitrate penalties while maintaining block matching performance.

An image prediction method determines a target block using iterative integer pixel searches followed by a single fractional pixel search.

Motion vector difference coding weights predictors by pixel accuracy, resolving suboptimal compression in scalable video difference domain.

Encoder adapts transform types to block gradients, reducing data size while maintaining encoding efficiency and visual quality.

A video encoder selects reference blocks using cost and counter values to optimize prediction efficiency.

A bit rate control system adjusts encoding parameters based on local and global complexity differentials to optimize resource usage.

A control circuit dynamically sets current frames to long-term, short-term, or non-reference types based on playback and correlation conditions.

A video coding device prunes redundant motion vector prediction candidates using picture order count values.

Pre-encoder analysis of inter-frame pixel activity differences predicts block types to allocate bits efficiently while maintaining target bitrates.

Segmenting run lengths, index values, and escape pixel values eliminates parsing dependencies between decoding and parsing engines.

A video coder refines motion vectors using multi-pass constraints on fractional parts to enhance inter-prediction precision.

Layered encoding of 3D visual dynamic range images using a monoscopic SDR base layer and enhancement layers for efficient signal extraction.

A decoding method removes duplicate view synthesis prediction candidates from the merge candidate list to optimize encoding efficiency.

A video coding method restricts Intra Block Copy prediction units to limit memory bandwidth usage.

Separates palette coding information for luma and chroma components, resolving the trade-off between compression ratio and device complexity.

Cached motion estimation results enable rapid quantization parameter selection, resolving the trade-off between encoding speed and bit rate precision.

A video decoding method derives an intra prediction mode based on a reference sample line index to perform adaptive block processing.

Server divides images into pixel scales and queries a cache using block hash values to determine which data blocks require transmission.

Bilateral template matching refines motion vectors to reduce bandwidth and storage requirements in video decoding.

Service fragment segmentation structures broadcast signal data to optimize transmission efficiency and resource allocation.

Defining separate non-overlapping reference areas for each parallel region reduces data dependency between slices while maintaining coding efficiency.

Selective movement compensation generates additional data for high-resolution 3D image reconstruction.