Digital Video Signal Modification TRIZ Cases

Segmenting depth data into the MP4 Sample Entry eliminates redundant decoding unit descriptions and enables direct extraction of stereoscopic vision parameters.

Segmenting video frames into reference and enhancement layers reduces network congestion and latency spikes in adaptive bitrate streaming.

An early termination algorithm reduces encoding time by skipping unnecessary rate-distortion cost calculations for motion vector predictor candidates.

A video decoding method derives reference samples and obtains prediction samples using a weighted sum of non-adjacent data.

A simulation view network streamer generates and sends image streams from virtual environment views to designated output devices.

Sorting pixel color values by occurrence frequency reduces storage units and comparison operations in palette mode video encoding.

An adaptive merge candidate list configures prediction candidates based on current block characteristics to optimize inter-layer video decoding processes.

Spatial neighbor selection resolves collocated block mismatches in video decoding, enhancing prediction accuracy and compression efficiency.

Dynamic selection between uni and bi prediction based on motion similarity reduces calculation complexity while maintaining encoding efficiency.

A video decoding system derives delta quantization parameters from syntax elements signaled in transform units associated with split nodes.

A motion adaptive interpolation filter adjusts coefficients based on block velocity to calculate fractional pixel values.

Encoding video streams using maximum bitrate levels groups resolution and frame rate combinations to simplify playback device certification.

Residual differential pulse code modulation processes video blocks without transform application, reducing precision loss and avoiding sign data hiding errors.

Intra block copy predicts screen content pixels from local reconstructed regions, reducing prediction error and bit rate for graphics.

Dynamic prediction function groups reduce identifier bandwidth while maintaining high prediction quality in adaptive image coding systems.

Segmenting adaptive offset filter parameters into largest coding units reduces buffer requirements and eliminates frame-level data holding delays.

Arranging reference picture sets in sequence parameter sets reduces signaling bits for high efficiency video coding.

Region-based LUT updates reduce bandwidth requirements while controlling processing time during high-resolution video encoding.

Context-based modeling avoids affine neighbor data to reduce computational complexity while maintaining motion prediction accuracy.

A reference image generation unit creates stable frames by suppressing apparent deformation through motion-compensated prediction.

Second-order orthogonal spatial intra prediction uses three proximate decoded pixels to generate predictor values for current pixel locations.

S-frames allow rendition switching between segments, reducing end-to-end latency without compromising image quality.

Encoder spatially tiles immersive video for seamless segment switching, preventing quality degradation during user navigation.

A video decoder selects a prediction candidate from a merge list containing fusion options to reconstruct chroma blocks.

A video encoder suppresses filtering at tile boundaries assigned to different processing cores.

A Cross-Component Sample Adaptive Offset filter reconstructs video regions using hierarchical bitstream syntax elements.

Segmenting motion estimation into preliminary low resolution and focused full resolution searches reduces computational complexity while maintaining accuracy.

Sharing scaling list data via a bitstream flag reduces redundancy in scalable video coding, lowering bandwidth requirements for efficient delivery.

A non-local adaptive loop filter divides video frames into patches to group similar regions and denoise pixel values.

A method generates a most probable mode list using candidate intra prediction modes and reference line indices.

A point cloud attribute compression method uses a block structure-based intra-frame prediction scheme with four modes to reduce information redundancy among coding blocks.

A transform size determination module preprocesses residual data to evaluate candidate block sizes before encoding.

Restricting output layer pictures via signaling parameters prevents decoding errors while reducing transmission data volume.

Adaptive DCT sharpener modifies quantization factors to enhance image quality without decompressing data, reducing computational cost and file size.

A stereoscopic image processing system computes a first depth map and generates a filter map based on extreme depth values to refine the final output.

A decoding method adjusts frame buffer counts based on picture resolution ratios to optimize memory usage.

A video processing method adapts optical flow coding using illuminance information to refine prediction blocks.

A decoding apparatus shares camera parameters across video slices to convert depth values into disparity values.

Deriving motion vectors from prediction templates removes residual processing complexity while maintaining decoding accuracy.

A method partitions image blocks to select multiple quantization parameters based on frequency characteristics.

Setting the final two coefficients of 4x4 blocks to zero reduces context adaptive variable length coding clock cycles, eliminating overhead wait time.

A media synchronization system adjusts playback timing using common timestamps to align streams from diverse recording devices.

A video decoding method determines partitioning modes based on coding block size and allowable maximum sub-block size ratios.

Index map encoding separates escape colors from index values, resolving interleaved syntax constraints that limit COPY_ABOVE_MODE usage and throughput.

Adaptive neural network filter models reduce distortion by tailoring processing to specific video units and temporal layers.

A video decoder segments coefficient decoding into context and bypass passes to optimize syntax element processing.

Processing circuitry reconstructs video samples by selectively extracting residue data from specific sub-regions within coding blocks.

Upsampling prediction mode information enables inter-layer motion prediction across different spatial resolutions without modifying base layer system design.