Digital Video Signal Modification TRIZ Cases

A video decoder applies forced deblocking filtering to current blocks using encoded stream information.

Piece-wise linear reshaping functions manage signal ranges in HEVC bitstreams without modifying the encoder specification.

Texture-based split prediction sets filter candidate modes to resolve encoding complexity collisions while maintaining compression efficiency.

A motion vector encoding method selects predicted candidates and determines search ranges to generate differential vectors.

A coding tool adjusts motion vector corrections via segmented integer and fractional sample searches to improve inter-prediction compression performance.

Supplemental enhancement information signals suggested viewports for spherical video content.

Hardware pipelines perform parallel bitcost and distortion calculations to reduce processing resources, power consumption, and delays in video compression.

An FPGA-based transcoding engine bypasses volatile server memory to reduce latency and power consumption during real-time video stream processing.

A chroma block prediction method combines luma vectors with cross-component filters to refine video decoding accuracy.

A method determines a context for coding intra-prediction modes using quantized transform coefficients to reduce bit rates.

Compact film grain parameter representations reduce network bandwidth consumption and minimize playback delays during video streaming.

Segmenting video units by coding type applies distinct processing paths to resolve the trade-off between coding efficiency and device complexity.

Constructing a predictor list from non-adjacent blocks in a coding tree unit improves compression efficiency while managing buffer complexity.

Base layer SAO parameter reuse lowers encoder complexity while maintaining reconstructed picture quality.

Encoder identifies affected video blocks using motion vector components to prevent error propagation in subsequent frames.

Asynchronous encoding of video frames into lossless PNG format for real-time streaming playback.

Recursive partitioning decodes video groups using syntax elements to reduce motion vector data volume while maintaining image quality.

A pixel array division method uses tilted borders to split image data into disjoint tile subsets for parallel encoding.

Adaptive ISP block partitioning splits video data units into sub-partitions based on size and direction.

Multiple template patterns fuse reference blocks to improve prediction accuracy and reduce residual information in video coding.

Shift disparity vectors by offset values to derive inter-view motion vector candidates for merge and skip modes in 3D video coding.

The color space conversion circuit processes negative LCEVC enhancement residuals by adjusting its conversion matrix, avoiding costly new chip designs.

A codebook-based motion filtering system selects pre-calculated filter coefficients to enhance sub-pixel prediction accuracy in interframe video coding.

A sending device selects a proximity ROI video from previously generated streams to satisfy receiving requests.

A cross-component prediction technique selects a filter shape candidate to predict internal chroma sample values from luma samples.

Machine learning identifies contextual objects in video streams, allowing the system to preserve their high resolution while reducing bandwidth consumption.

A prediction circuit partitions super blocks to generate reconstructed pixel values for direct intra-frame reference.

A two-stage encoder compresses video frames using a conditional generative adversarial network to reconstruct images from soft edge data.

Dynamic context modeling selects residual features to lower algorithm complexity while boosting compression performance.

A motion estimation device generates sample blocks through first-type sampling to determine matching regions.

Segmentation-based partitioning divides video coding blocks into segments to generate motion-compensated predictions using distinct reference frames.

A codec bit-rate estimator allocates target bits to frames within a group of picture based on frame type and rate control parameters.

Subblock-based affine motion modes define motion fields using control point motion vectors for precise prediction.

A communication control system dynamically modifies image compression algorithms based on real-time buffer utilization rates.

Divides video frames into regions with assigned resolutions to maintain stable PSNR and minimize distortion when transmission bandwidth fluctuates.

Subsamples subblock predictors to derive refined motion vectors, reducing bilateral matching distortion computation complexity.

Refining bi-motion vector predictors via decoder side motion vector derivation improves video coding precision.

A video codec uses uniform discrete cosine transformation blocks to enable partial frame decoding without intraframe prediction.

A motion compensating prediction method determines target reference pixels using polyhedron center projection to enhance spherical panorama accuracy.

Dynamic filter selection resolves the trade-off between device complexity and coding efficiency in cross-component prediction.

Constraint flags in high-level syntax enable fine control over encoding tools, resolving profile definition complexity without increasing bitstream size.

A transcoding apparatus re-encodes a first decoded picture to generate multiple bitstreams with lower bit rates.

A transmitter communication device adjusts modulation and coding schemes for video frames based on their temporal position within a group.

Recording non-adjacent intra prediction modes expands candidate sets, balancing video quality against bandwidth requirements.

Adapting intra-prediction modes based on coding unit size resolves redundancy in context allocations and reduces implementation complexity for 64×64 blocks.

Segmented streaming sessions enable dynamic parameter adjustments that resolve playback performance issues across diverse client devices.