Digital Video Signal Modification TRIZ Cases

Removes redundant motion vector predictor candidates from sets to enhance video coding efficiency and minimize parsing errors.

A frame interpolation module generates missing video frames using thumbnails and independent data to maintain playback.

A stop-fetching flag limits offset shift accumulation during AVS decoding, preventing process collapse and reducing waiting time.

A video intra predictor generates virtual pixels via linear interpolation to compute prediction values.

Second-order prediction equations amplify luminance fluctuations in decoded images, restoring small amplitude details lost by first-order filters.

A video processing method manages decoder side motion vector refinement using signaled bitstream information.

Statistical processing circuit guides motion search range and direction, reducing detection time while maintaining precision.

A motion estimation system shares cost metrics across overlapping video units to process multiple unit sizes in parallel pipelines.

A two-dimensional separable interpolation filter adjusts positive coefficient sums against a threshold to maintain dynamic range during video processing.

Segmented syntax elements and dynamic flag signaling reduce bandwidth utilization and processing power consumption during video decoding.

A 3D video encoder multiplexes independently compressed base and nonbase views into a single transport stream for simultaneous broadcast.

Epipolar constraint reduces affine motion estimation complexity, lowering processing time and memory usage for vehicle video encoding.

A decoder-side motion vector derivation method uses template matching on reconstruction samples to improve prediction accuracy.

Template matching selects valid block vector differences within picture boundaries, improving prediction accuracy while reducing bitrate.

An image conversion apparatus reconfigures slice and rectangular area boundaries to optimize loop filter application.

A motion vector recovery apparatus computes lost vectors using weighted averages of valid and orthogonal vectors.

Encoder maps pixel values before compression to reduce blocking artifacts in low bandwidth channels.

An encoder adapts binarization formats for frequency transform coefficients based on arithmetic encoding mode to optimize data representation.

A processing component calculates comparison metrics by blending reference frame pixels with motion compensated data to determine output frame values.

Weighted sum of angular and planar predictors generates fused intra prediction blocks, improving accuracy while managing device complexity.

Encoder divides conversion coefficient blocks into sub-blocks to encode pixel positions relative to local reference points.

A guided transcoding method encodes delta quantized coefficients derived from estimated values to reduce storage requirements.

Reconstructs second component signals using spatially corresponding first component data and correction signals to remove inter-component redundancies.

A generalized bi-prediction coding tool combines multiple prediction modes to enhance motion compensation accuracy.

A residual decoding circuit records side information to selectively decode specific syntax elements within video transform blocks.

Single Sample Mode reduces bit-rate for smooth areas by signaling a single representative value instead of multiple block parameters.

Merges candidate coding blocks sharing prediction parameters to reduce data transmission costs while maintaining high-resolution image quality.

Modifying packet headers to zero reference frames reduces memory footprint and processing demands for thumbnail generation on legacy devices.

Segmenting motion vector storage by frame type expands candidate lists without increasing computational complexity, improving PSNR gains.

A stereoscopic video multiplexing method preserves horizontal and vertical resolution by entering one image unchanged while subdividing the second into regions.

Selective local illumination compensation improves compression ratios while managing encoding complexity through boundary block processing.

An image coding apparatus selects intra-prediction block sizes based on pixel value statistics to optimize encoding units.

A mixed NAL unit type approach partitions images into subpictures with distinct encoding types to streamline bitstream processing.

Signals CTU coded blocks data before in-loop filtering parameters to eliminate parsing dependencies and reduce decoding lag.

Adjusts co-located block positions via disparity vectors to improve motion prediction accuracy and reduce bitstream length across different views.

A predicated image generator uses constrained intra-prediction to suppress quality deterioration.

Motion refinement integrates weighted prediction parameters into the search process to improve accuracy without increasing complexity.

A camera device adjusts its video encoding bitrate based on real-time transmission metrics to match available bandwidth.

A video processing method generates target block hypotheses using multiple prediction modes to perform bitstream conversion.

Applying motion vector refinement with predefined magnitudes reduces signaling overhead while improving prediction accuracy in video coding standards.

Encoder segments digital source images to fit limited cache width, reducing manufacturing costs and power consumption.

Adaptive prediction mode selection divides video frames into compression regions to optimize entropy coding throughput.

Clipped block vectors guide reference blocks to valid regions, resolving prediction errors from unavailable pixels.

Proprietary grouping data structures encapsulate vendor-specific information within standard media files using universally unique identifiers.

Position-dependent entropy coding applies distinct schemes to residual level sets, reducing bit redundancy in high-resolution image blocks.

Adaptive intra prediction selects precision modes based on neighboring block directionality to optimize encoding.

Partitioning current blocks into regions allows applying distinct intra or inter prediction modes to improve accuracy while managing complexity.

Quantization groups specify chroma QP offsets via a header table index, resolving the trade-off between device complexity and chroma quantization flexibility.

A video decoding method partitions coding blocks into subblocks to assign neighbor parameters for inter-prediction.