Digital Video Signal Modification TRIZ Cases

Classifies reconstructed samples using absolute or relative standards to apply precise offset values.

An embedded codec circuitry performs pixel-domain pre-processing operations to select optimal encoding modes for image blocks.

Hierarchical reference management reduces decoding processing loads by establishing priority orders for base and enhancement layers.

A coefficient change unit adjusts specific frequency range values to determine final quantization coefficients without iterative operations.

Encoder adapts binarization syntax structures to bypass arithmetic encoding when conditions are met, reducing processing delay and code size.

A secondary encoder handles simple video frames to lower energy use in H.265 systems.

Base circuitry performs matrix multiplication with a Hankel matrix to reduce multiplications required for video transforms while maintaining bit-exact results.

Configures block dimensions for transform skip mode to reduce processing requirements while maintaining compression performance.

Dynamic selection of multiple adaptive loop filter sets resolves content adaptation complexity trade-offs in video encoding.

A video decoder selects a target quantizer using previous coefficient flag bits, reducing coding and decoding complexity.

A decoding device selects a cross-component prediction merge candidate to generate a prediction block for video data processing.

A video coding block uses a fitting plane derived from reference samples to predict directional intra prediction modes.

Motion-compensated partitioning reduces encoding time by applying selective sub-pixel search only where needed.

External segment metadata synchronizes video boundaries across transcode servers, enabling seamless switching between servers without interrupting playback.

Weighting matrices merge directional and reference prediction values to resolve accuracy versus computational complexity trade-offs in video encoding.

Encapsulated HEVC bitstreams include tile descriptions enabling selective image region extraction.

A decoding method constructs an MPM group from neighboring block modes to reduce intra prediction mode encoding information.

A video encoding system dynamically adjusts group of picture lengths based on scene motion to balance bitrate reduction with image quality.

Joint training of multi-part neural networks resolves the contradiction between sub-optimal independent filtering performance and increased device complexity.

Estimating weighted prediction parameters via scaled reference image histograms reduces prediction residual dynamic, lowering data transmission requirements.

An image processing apparatus controls inter prediction modes based on motion vector accuracy to optimize motion compensation.

Deriving motion vector difference contexts from inter-prediction and motion vector prediction modes enables efficient video block decoding.

Shared merge candidate lists reduce data transmission bandwidth by deriving motion vectors from pre-computed candidates instead of explicit coding.

Aligning transform blocks with prediction block boundaries prevents cross-boundary artifacts and improves correlation removal efficiency.

A motion prediction unit generates multiple prediction vectors and assigns dynamic code numbers based on peripheral motion data.

Segmental prediction classifies pixels into segments based on gradients to reduce prediction errors from sharp transitions.

A cross-component linear model predicts chroma samples from luma data to improve video coding efficiency.

A video coding method selects target modes using quantization parameter thresholds derived from predicted residuals.

A video encoding method using transformation units in a variable tree-structure to adapt to image characteristics.

A video processing apparatus acquires inter-view motion vectors using depth block values to enhance disparity compensation prediction accuracy.

A video decoder determines prediction weights for sub-blocks using control points to enable flexible bi-prediction.

Fast motion search logic downscales multiview video to determine shifts, reducing processing time and power consumption during encoding.

Deriving motion vectors via template matching costs at the decoder side reduces bitstream overhead and computational complexity.

A video decoder prefetches source pixel data into a local buffer to hide memory latency during intra block copy operations.

A candidate prediction mode list encodes flags and indices to identify optimal intra-frame methods for video blocks.

A parallax processing method adjusts depth ranges in signals to match target display capabilities.

Reusing Sample Adaptive Offset parameters from independent views reduces encoding complexity while maintaining reconstructed picture quality in 3D video coding.

Embedding transcoding method indicators in the bitstream reduces bandwidth overhead and coding efficiency costs during format adaptation.

Setting fixed Rice parameters for pixel domain residuals simplifies coding and reduces computational complexity while maintaining high-resolution image quality.

A bidirectional intra prediction method determines pixel values using neighbor block availability and adjacent modes.

Deriving chroma block vectors from luma data reduces information loss and enhances coding performance.

Segmenting current blocks into coding and zero-out regions reduces data volume while maintaining reconstruction accuracy.

Multi-level decoder side motion vector refinement splits coding blocks into subblocks for localized processing.

Context decoding bypasses full spatial neighbor reconstruction to accelerate video frame processing.

A unified search window approach processes multiple video formats using a single hardware motion estimation unit.

A wavelet transform unit processes image data using SRAM buffers to generate compressed images without external memory.

A dynamic encoder-time scaling system adjusts video fragment resolutions based on encoding complexity to generate optimized representations.