Digital Video Signal Modification TRIZ Cases

Segmenting motion estimation into large and small search ranges reduces computational complexity while maintaining compression quality.

A matrix-based intra-prediction mode index determines transposed conditions to reduce memory requirements.

Palette mode coding uses index values to represent dominant pixel colors in video blocks.

A bilateral filter adapts parameters to video unit properties, reducing ringing artifacts in chroma components while managing computational complexity.

An Operation Points Information box stores representation format details for multi-layer video streams.

Segmented flags encode coefficient values to improve bin-to-bit ratios, addressing insufficient compression efficiency for levels greater than one.

A palette coding mode predicts current block samples using motion vectors from reference blocks to exploit non-local redundancies.

A changing unit adjusts a fixed quantization parameter when specified regions change to stabilize video encoding.

Embedded video metadata communicates content category and display settings to target displays, eliminating manual user adjustments.

Segmenting video into discrete GOP files enables parallel encoding, reducing serial access bottlenecks and accelerating throughput.

Estimates reference direction prediction values from adjacent blocks to switch arithmetic encoding to context mode, reducing code amount in angle prediction.

A video processing device selects transform modes using depth and motion information to optimize block coding.

A video encoding system merges fragments from multiple bitrate streams into a single output stream using quantization parameter adjustments.

A Coding Tree Unit splitting mechanism using quadtree, binary tree, and ternary tree structures to decode image data.

A dynamic range adjusted autocorrelation matrix refines warped motion parameters to resolve bandwidth and encoding accuracy trade-offs.

A mesh coding method partitions input geometry into symmetric and asymmetric sub-meshes using a global symmetry plane.

A video encoding system embeds image format metadata identifiers within supplemental enhancement information messages.

Encoder restricts large blocks to DCT-II to reduce processing load while allowing smaller blocks to use DCT-IV and DST-IV for flexibility.

Partially aligned IRAP access units signal non-decodable pictures to resolve decoding reliability versus coding complexity trade-offs.

Predicting block vector difference signs reduces coding complexity and improves efficiency by minimizing bitstream size during video encoding.

Edge-based sub-partitioning reduces processing load by skipping exhaustive RD cost calculations for all intra prediction modes.

Sample adaptive offset adjustment unifies chroma parameters to halve transmission bits while minimizing reconstruction error.

Predictor generates motion vectors using neighboring block indices to reduce data transmission.

Applying an affine motion model to bilateral matching reduces computation complexity and bitstream size while improving video quality.

A processing unit combines inter-prediction information from neighboring blocks to generate motion vectors.

A video coding method adjusts reference picture resampling factors using Picture Order Count signals to manage semantically independent access units.

Partial reconstruction of neighboring blocks accelerates template matching in video decoders, reducing decoding delay and power consumption.

Convolutional neural networks determine video coding mode decisions using non-overlapping operations and sub-block classifiers.

Cross-component linear model derives chroma prediction samples from luma data to resolve accuracy drops when neighboring chroma references are unavailable.

Decodes chrominance quantization offsets based on transform unit size to calculate precise indices for efficient video compression.

Segmenting frames into row segments prevents error propagation without increasing bit rates.

Dynamic search range sizing allocates larger areas to frequent reference pictures, reducing hardware overhead and latency while improving coding gain.

Skip modes select intra or predicted-motion patterns in inter-layer residual video, reducing bit rate overhead while maintaining representation accuracy.

Virtual boundary indications differentiate clean and dirty areas to resolve contradictions between filtering quality and computational complexity.

Translating block-based coding parameters across resolutions reduces motion vector search complexity and improves encoding speed for batch processing.

Parallel encoders process overlapping segments to stitch seamless streams, resolving buffer discontinuities and maintaining playback stability.

Syntax elements specify slice heights in coding tree unit rows to resolve tile size constraints and improve video picture organization.

A motion estimation method classifies frame patterns to dynamically weight SAD and SC terms in the cost function.

A decoding method uses non-square coding and transform blocks to enhance video signal processing efficiency.

Dynamic context probability estimation reduces computational complexity while achieving high compression ratios for synthetic images.

A sub-bitstream extraction method identifies and discards access units to form a conforming bitstream.

An adaptive linear lifting transform reconstructs mesh vertices using distance-based prediction to reduce data volume.

Adaptive reconstruction levels in video encoding improve rate-distortion performance through non-uniform dequantization.

A prediction unit selects uni or bi modes based on block dimensions to generate reference frames.

A motion estimation method uses global vector penalties to select accurate vectors for periodic blocks.

An adaptive high-pass filter restores high-frequency details lost during quantization, reducing residual energy and improving coding efficiency.

Block modulating video compression divides images into blocks and applies random masks to reduce computational complexity on mobile devices.

Encoder determines block characteristics to select interpolation methods for pixels outside referable regions.

A model-based scan line encoder compresses LiDAR data by calculating residuals between trajectory models and actual scan points.