Digital Video Signal Modification TRIZ Cases

A hybrid prediction block merges inter-predicted reference pixels with intra-predicted spatial values to form accurate video frames.

Segments chroma data into base and enhanced streams, resolving the trade-off between compression efficiency and color fidelity.

Implicit chroma base quantization parameter derivation from luma data reduces bit usage while maintaining independent decoding streams.

Encoding scanner images into a compressed video file reduces network bandwidth consumption and minimizes congestion during remote desktop transmission.

Affine motion compensation updates vectors across blocks to capture complex video movements, resolving translation model limitations.

Decoupling arithmetic decoding from variable-length decoding resolves throughput bottlenecks caused by data-dependent operations.

Separate coding trees partition luma and chroma data to reduce computational complexity and buffer requirements in high-resolution video.

Adaptive bit allocation adjusts quantization parameters per coding unit in HEVC encoding to resolve video quality versus complexity trade-offs.

Adding an offset to interpolated reference frame pixels improves motion prediction accuracy in images with brightness changes.

Zero residual handling for large coding units avoids forced splitting and maintains the one CU containing one TU rule while improving compression efficiency.

A video decoding apparatus manages the decoded picture buffer by checking base layer flags to control enhancement layer picture removal.

A binary adaptive Golomb coding engine processes image blocks to compress data volume.

A video coder right-shifts temporal motion vectors to convert sub-pixel precision into integer precision for unified intra block copy and inter prediction.

A decoding apparatus constructs a candidate mode list based on neighboring block modes to generate predictors using intra linear interpolation prediction.

A video coding method sets long-term reference frames based on image frame attributes to determine reference indices for inter prediction.

Signaling reference picture set extensions enables inter-layer motion compensation prediction in scalable video coding.

Deriving inter-prediction parameters from merge candidates resolves compression efficiency limits while managing computational complexity.

A video decoder sets picture resolution based on maximum resolution information to optimize data processing.

A video decoding method selects prediction modes from candidate lists based on reference mode index differences.

Variable-strength deblocking filtering reduces blocking artifacts while managing computational complexity in video decoding.

In-loop reshaping transforms prediction blocks across domains to improve reconstruction accuracy while managing decoding complexity.

A video coding apparatus evaluates visual quality within the encoding loop to guide motion estimation decisions.

A decoding apparatus derives Wiener filter coefficients from spatially neighboring blocks to filter prediction samples in image coding.

A video encoding method adjusts quantization parameters based on calculated glare factors to optimize compression efficiency.

Adaptive image encoding apparatus classifies input frames into categories to apply tailored intra prediction schemes.

A video signal processing method derives merge candidates from neighboring blocks to generate a list for motion compensation.

Matrix based intra prediction uses multiple transform blocks to decode video data.

Constructs an intermediate coding structure by merging first coding units, reducing computing power requirements for real-time format conversion.

A quantization kernel maps block model parameters to frame-specific settings using offline pre-computation.

A decoder adjusts motion vectors using polyhedron face layout information to handle spherical panorama projections.

A processor resamples video information to create a picture with modified slice definitions that satisfy raster scan processing rules.

A method generates sub-images from elementary views and arranges them into a multi-view pattern for adaptive compression.

Neural network derives intra-prediction modes to resolve accuracy versus complexity trade-offs in high-resolution image encoding.

A temporal domain rate distortion optimization algorithm adjusts the Lagrange multiplier using a propagation factor to improve coding efficiency.

Palette-based video coding uses color indices to compress screen-generated content, resolving inefficiency in discrete-tone compression.

A three-module upsampling process selects base layer samples and applies phase-based filters to recreate enhancement layer video data.

Encoder merges layered pictures into single bitstream access units using flags to resolve processing complexity trade-offs.

Hierarchical partitioning divides coding blocks into prediction units, resolving trade-offs between encoding efficiency and image quality.

Processing circuitry decodes prediction information from coded video bitstreams to determine validity based on usage constraints.

Deriving disparity vectors from depth data enhances prediction accuracy while managing computational complexity in multiview video encoding.

An image coding method applies Low-Frequency Non-Separable Transform and Multiple Transform Selection to derive residual samples.

Layer dependency analysis manages reference images across multiple layers, resolving the trade-off between scalability and device complexity.

Signaling layer identifiers for operation points in video coding eliminates redundant data transmission to reduce bit usage and improve decoding efficiency.

Partitioning depth map blocks allows selective sample extraction that reduces computational complexity while maintaining prediction accuracy.

A transcoding system reuses motion prediction data from unaffected video blocks to insert replacement content.

A context model index selects entropy coding models using an offset derived from partially reconstructed transform coefficients.

Dynamic parameter selection across temporal layers resolves the trade-off between coding efficiency and device complexity.

Downsampling high-resolution video frames into independent partitions for parallel encoding.

Encoder segments filter coefficients into separate bitstream storage locations to reduce information transmission while maintaining image quality.