Digital Video Signal Modification TRIZ Cases

A deblocking filter selects boundary strength values based on coding parameters to optimize visual quality.

A video encoding method divides frames into sub-image blocks and assigns resolutions based on object importance levels to optimize data size.

Encoder signals projection parameters in bitstreams to map 360-degree video to planar formats, resolving trade-offs between resolution and bit rate.

A video decoding device extracts supplemental enhancement information to identify refreshed segments within a bitstream.

Adaptive re-encoding adjusts quantization parameters to resolve CPB underflow contradictions while minimizing computational overhead.

The system adjusts virtual boundary positions during sub-picture extraction to prevent decoding mismatches caused by fixed boundaries outside the sub-picture area.

Dynamic model selection adapts between linear and non-linear chroma prediction strategies to resolve accuracy versus computational complexity trade-offs.

Separate storage of control point and motion compensation vectors resolves HEVC translation limits, reducing storage usage while representing complex motions.

Deep Neural Networks predict subjective quality to optimize residual encoding, resolving the trade-off between compression efficiency and image degradation.

Partitioning video signals into hierarchical tiles and slices resolves data amount bottlenecks while maintaining high definition quality.

A video decoding method determines DC values from reference samples to generate prediction blocks.

A coding device segments images into distinct zones to apply adaptive encoding schemes based on local spatial characteristics.

A video codec partitions blocks into subblocks to derive independent intra prediction modes for each segment.

Slicing streaming media files into time-based segments with mapped sequence numbers enables rapid random access while managing network bandwidth consumption.

Transforming motion vectors via projection functions improves omnidirectional video encoding efficiency.

A mode-dependent transform signaling scheme selects specific transform types based on intra prediction modes to optimize video encoding parameters.

A method determines interlayer disparity vectors using default values and reconstructed depth maps when peripheral block prediction fails.

A feature encoding method applies filtering to minimize differences between original and reconstructed feature maps.

Conditional multi-pass encoding adapts hardware video encoders to scene changes, reducing latency while maintaining fixed-function architecture efficiency.

A decoded picture buffer updates using syntax elements to invoke bumping only when fullness exceeds defined limits.

Client devices generate error-free P-skip slices to replace missing video data units, preventing system crashes during low-latency streaming.

Absolute reference picture signaling embeds buffer descriptions in encoded video data to update decoder buffers independently of prior frames.

Dynamic compression rates adapt to stationary and moving object counts in frames, resolving quality degradation from fixed encoding settings.

Inter-prediction using a generated background reference reduces bandwidth and storage requirements for high-quality video streaming.

An NVMe-based video codec device integrates encoding modules within an SSD form factor to enable high-density functionality.

A video transmission unit divides color gamuts into uniform regions to collect pixel statistics for efficient data compression.

Directly determines LFNST coefficient scanning order from CCLM parameters, eliminating mapping processing to improve encoding efficiency.

A video processing method segments image sequences into spatial and temporal layers to enable scalable resolution adaptation.

A video encoding method compares template matching motion vectors with predictive values to select optimal interframe prediction modes.

A multi-stage coding block partition search method selects optimal video encoding types through staged cost evaluation.

A phase-only transformation converts complex DPAC holograms into single-phase data for JPEG or MPEG compression.

A transform information encoding and decoding method selects primary and secondary transform methods for target blocks based on coding parameters.

Parallel pipeline architecture processes coding units simultaneously to reduce computational complexity while maintaining high compression quality.

Classifies pixels by inclination direction frequency to apply precise tap coefficients, resolving filter precision limits in HEVC encoding.

A deblocking filter level decision method uses lookup tables indexed by quantization parameters to determine filter levels.

Cross-color prediction merges spatial and cross-color correlations to resolve the trade-off between device complexity and measurement precision.

Video encoding device predicts vertical motion vector components using horizontal values, reducing bit rate by exploiting inter-component correlation.

Dynamic scanning unit selection optimizes encoding efficiency while reducing processing complexity for high-resolution image data.

LMCS methods apply luma mapping and chroma scaling to reduce information quantity while maintaining high-resolution image quality.

Hierarchical coding units split video data into asymmetric partitions to resolve compression efficiency versus encoding complexity trade-offs.

An autoencoder network compresses inter-frame point clouds using down-sampling convolution and cross-attention mechanisms to capture data correlations.

Signaling deblocking parameters at picture or slice headers reduces bitstream overhead during image decoding.

Dynamic search dimension selection reduces encoding complexity while managing prediction errors in mixed screen content video.

Assigning view identifiers to multiview video data based on camera perspectives enables dynamic selection of representations with varying depth and view numbers.

Early termination of optical flow refinement lowers computational load while maintaining inter prediction accuracy.

A decoder selects matrix-based or regular intra-prediction for video blocks to generate prediction data.

Forming a composite reference array by projecting multiple reference arrays improves prediction accuracy while managing encoding complexity.

Independent syntax flags control transform skip mode for luma and chroma, resolving coding efficiency trade-offs against device complexity.

Hybrid encoding of sample adaptive offset indices reduces bit-stream size while maintaining high resolution reconstruction quality.