Digital Video Signal Modification TRIZ Cases

Adaptive loop filtering determines sample availability across video unit boundaries to enable independent coding processing.

Excluding adjacent CTU samples from reference areas and using padding accelerates intra block copy reconstruction, reducing processing delays in video decoding.

Grouping maximum size encoding units reduces bit usage and improves video coding performance by sharing common encoding information.

Inserting averaged motion vector predictor candidates before history-based ones in the merge list improves coding efficiency.

A deblocking filter derives maximum filter length from edge type variables to process reconstructed video data blocks.

Parallel rate-constrained motion estimation determines optimal motion vectors using multiple temporal predictor candidates for high throughput.

Signaling neural network post-filter characteristics through specific syntax elements in video coding bitstreams.

A cancel flag mechanism prevents conflicting SEI messages in video bitstreams.

Deriving motion refinement candidates from spatial, temporal, and frequent reference patterns improves coding efficiency for high-resolution images.

Deriving mapped intra prediction mode values for chroma components using predefined mapping tables based on subsampling formats to improve coding efficiency.

Uses asymmetric sub-block division structures to adapt to local video characteristics, reducing storage and transfer costs.

Adaptive filtering adjusts reference pixel strength based on block size relationships to enhance prediction accuracy in video encoding.

A video encoding method uses reference pixels from multiple decoded images to generate prediction blocks for current image segments.

Adaptive color transform and luma mapping tools based on detected image color space for efficient bitstream signaling.

Segmenting block type signaling into separate syntax elements for partition size and prediction direction improves coding efficiency and flexibility.

A 3D video encoding system uses pre-processing modules to refine base layer output for the enhancement layer encoder.

A video encoder restricts intra prediction modes to refreshed regions using a restriction block identification unit.

A processing system stores one high-quality video segment and encodes requested versions on demand to optimize storage resources.

Virtual encoding instances scale capacity to match viewer demand, reducing computational processing energy during low-demand periods.

A virtualization management engine coordinates resources across network allocations to distribute virtual functions.

Sub-block based inter-view motion prediction divides prediction units into smaller sub-PUs to resolve inefficient middle-position reliance and reduce bitrate.

Uniform sub-block partitioning reduces computational complexity and memory access irregularity while maintaining prediction accuracy in 3D video coding.

A video encoding device classifies coefficient data into prefix and suffix bit strings to balance compression performance and calculation complexity.

A video decoder applies adaptive weight prediction parameters to inter prediction samples based on detected brightness changes between frames.

A server system pauses frame production when client token reception falls below a threshold to match rendering speed with display capabilities.

Prioritizing inter-view motion vector candidates reduces residual data transmission and processing complexity in video signal coding.

Generating motion vector predictor candidates from adjacent blocks accelerates video coding speed by resolving slow inter prediction processing bottlenecks.

Adaptive motion compensated temporal filtering removes video noise using bidirectional reference frames and dynamic strength adjustment.

Gradient-based blending strength preserves edge sharpness while reducing artefacts across block partitions.

A dynamic picture order count coding protocol assigns long-form identifiers to maintain encoder-decoder synchronization.

Segmented mode selection and partial signaling reduce device complexity while improving coding gain for chroma components.

Quantized pulse code modulation aligns distortion levels with adjacent lossy blocks, preventing data overflow and visual artifacts in high bit-depth frames.

Dynamic transform selection adapts DCT or DST to block size and color components, resolving the trade-off between coding efficiency and computational resources.

Selective intra-block copy prediction disables inter-picture bi-prediction to reduce memory bandwidth while maintaining coding efficiency.

A computer device applies secondary compression to pictures meeting trigger conditions based on characteristic analysis.

Skip mode encoding selectively processes residual block data, reducing transmission costs while maintaining high video quality.

Dynamic transmission rate adjustment prevents decoder buffer overflow and underflow, ensuring consistent visual quality across variable IP networks.

A proxy video system extracts essential metadata from high-resolution footage to enable seamless remote editing workflows.

Dynamic filter selection reduces video bit rates while maintaining high fidelity by matching smoothing parameters to block size and prediction mode.

A history-based affine merge mechanism constructs a motion candidate list from stored affine motion information to predict current block vectors.

Inter-layer motion prediction reuses base layer data to resolve the trade-off between HEVC coding efficiency and spatial scalability.

Context models for secondary transform bins reduce parsing delays and computational complexity in video compression.

Segmenting quantization blocks into sub-blocks processed by parallel units reduces decoding time while maintaining throughput.

Single Matrix Intra Prediction reduces memory footprint by 7.92 times while maintaining prediction accuracy through simplified signaling.

A control algorithm dynamically adjusts video encoding parameters to match actual transcoding requirements.

A pruning process manages illumination compensation flags within motion information candidate lists to streamline video data processing.

Affine model prediction reconstructs video blocks using motion vectors from adjacent minimum compensation blocks.

A video encoder selects motion vector precision by analyzing fractional-sample prevalence to optimize rate-distortion performance.

Local illumination compensation adjusts prediction parameters using neighboring regions to reconstruct video blocks with reduced latency.