Digital Video Signal Modification TRIZ Cases

Segmenting motion into translation, rotation, scaling, and shearing components reduces data volume while maintaining high prediction accuracy.

A deblocking filter adjusts its strength using local dissimilarity measures between unfiltered block content and surrounding picture areas.

A video decoding method acquires multiple motion information pieces to generate separate predictions for a target area.

Parallel adaptive loop filtering reduces processing delay and buffer size by segmenting picture-level operations into independent block-level tasks.

Segmenting transform application by color component resolves inefficiencies from uniform sampling rates, improving energy compaction.

Extended reference frames reduce border distortion and improve inter-prediction accuracy by keeping objects within single faces.

A video decoding apparatus adjusts motion vector resolution per block to optimize prediction accuracy and reduce bitstream data requirements.

Discrete cosine transformation of detection arrays identifies block boundaries in scaled video, resolving accuracy issues caused by variable block dimensions.

An image processing device adds random offsets to amplified pixel values before encoding.

A scalable video encoding method derives inter-layer reference pictures from a decoded reference layer to predict current blocks.

A control file manages image encoded data for sub-pictures using distinct region-related information separate from arrangement data.

Multi-level machine learning classifiers determine partition decisions during video encoding to reduce computational complexity.

A video processing system adjusts picture rates using auxiliary information to optimize buffer management and resource utilization.

Decoder applies adaptive color transform to convert residuals between YCgCo and RGB domains, reducing signaling redundancy in video coding.

Linear interpolation of neighboring reference samples generates prediction data, reducing residual information volume while maintaining high image quality.

A video encoder adjusts resolution and quantization parameters to maintain target bitrate during single-pass or two-pass encoding.

A hierarchical enhancement decoder converts between HDR and SDR formats using tone mapping, reducing distribution costs for legacy devices.

An image processing apparatus obtains reference relation restriction parameters and performs alleviation processing to correct inconsistencies.

Beta scaling operations consolidate tone mapping and color conversion into single parameter maps, reducing video codec bitrate requirements.

Dynamic parameter signaling adapts between common and individual CPB removal delay modes, balancing timing precision against signaling overhead.

An adaptive motion vector range method generates representative motion vector difference values to reduce bit allocation in image coding systems.

A video export framework replicates files into slices for parallel transmission across multiple destinations.

Flexible reference picture list configuration resolves the trade-off between decoding accuracy and device complexity in high-definition image processing.

Segmenting rectangular chroma blocks into square sub-blocks allows standard transforms, reducing hardware complexity in 4:2:2 video coding.

Assigning a predetermined context variable to the first bin of an adaptive orthogonal transform identifier sequence reduces context count.

Dividing video frames into independently encoded tiles allows random access to specific regions, reducing arithmetic and memory costs during display.

A data streaming protocol generates inference data from video streams to reduce transmission volume.

Encoder circuitry selects a quantization matrix based on orthogonal and secondary transform states to optimize coefficient processing.

Dividing video frames into large coding tree units exceeding 128x128 pixels overcomes AV1 block size limits for 8K and 16K resolution videos.

Encoder derives correction parameters from a single upper-left neighboring reconstructed image to process large video blocks efficiently.

Multi-pass decoding of syntax elements within a transform block reduces bitstream size by exploiting context coding gains.

A multivariable matrix spectral factorization method uses lower-upper triangular factorization to process high-dimensional data.

Dynamic block sizing adapts to high-definition resolutions, improving coding efficiency while maintaining prediction accuracy through segmented candidate lists.

Marking decoded pictures as short-term or long-term references based on interlayer RPS information for efficient buffer management.

A video application generates compressed videos with consistent resolution and bitrate across different devices.

Retrieving a POC recalculation value from a random access point picture allows the decoder to handle non-aligned pictures without increasing bit cost.

Chunked time-to-offset mapping reduces streaming startup times by allowing playback to begin with partial seek index data.

Motion-constrained tile set bitstream construction reduces downstream bitrate by enabling selective decoding of required video content.

A deblocking filter calculates boundary strength at prediction unit edges to remove blocking artifacts in video compression.

Adaptive quantization minimizes angle error during compression to prevent visual artefacts in 3D scenes.

Reflecting absolute values in binarized motion representations resolves inefficiencies from inaccurate translation vector quantization.

A motion vector prioritization mechanism advances candidate vectors when stored reference frame identifiers match current buffer indices.

Grouping deleted image paths into bundles reduces encoding overhead while preserving object positioning accuracy in resized images.

A global motion compensation indication enables adaptive selection of multiple motion models for video processing units.

A skip decision circuit generates control signals to selectively encode video macroblocks based on similarity checks.

An encoder represents subpicture regions using a grid of coding tree units to define flexible shapes and locations.

Reordering 61 non-MPM intra prediction modes based on probability statistics reduces bit usage and improves coding efficiency.