Digital Video Signal Modification TRIZ Cases

A video coder carries specific indication information in bitstream data to identify blocks coded in intra block copy prediction mode.

Diagonal optical flows improve motion prediction accuracy while managing computational complexity in video coding.

Selective filtering reduces encoding complexity while maintaining noise reduction quality across the picture sequence.

A prediction filter calculates an optimum spatial correlation coefficient based on directional correlation to enhance coding efficiency.

Dynamic Rice parameter update adjusts Golomb codes based on coefficient magnitude, resolving slow adaptation to large values in screen content.

Segmented video files with independent initialization fragments reduce decoding latency and conserve bandwidth for streaming delivery.

A decoding apparatus generates chroma predicted blocks by combining luma intra prediction modes through weighted sums.

A depth map delivery format encodes stereoscopic video data using layered enhancement streams to support auto-stereoscopic rendering.

A frame rate up-conversion apparatus processes boundary pixels to generate accurate interpolation frames.

Structured service type fields identify high dynamic range and high frame rate content to resolve transmission efficiency versus identification accuracy.

A segment-based video coding method divides blocks into independent segments for parallel decoding using a shared palette table.

Magnitude-based weighting selects projected motion vectors, improving coding efficiency while managing computational complexity.

A video coding method splits source pictures into tile rectangles, encodes each independently, and merges them vertically to form coded slices.

Conditioned quantization parameter signaling optimizes video data processing by selectively transmitting parameters based on block area thresholds.

A determination section uses reconstructed image pixels to decide deblocking filter application across block boundaries.

A video decoding filtering method sets boundary strength based on prediction modes and quantization parameters.

A U-pattern scanning method reorders macroblock processing to increase predictor availability during video encoding.

A modified inverse-transform applies unique scaling matrices to each pixel location in a neighboring block to generate an enhanced reference prediction.

A video decoding apparatus adjusts image parameters based on supplemental enhancement information priority to ensure consistent processing.

A picture prediction method combines intra and inter samples using triangular prediction units to enhance encoding efficiency.

A video encoder converts square quantization matrices to rectangular shapes for transform coefficient processing.

Segmenting motion vectors into base and offset values stored in separate memories reduces DRAM bandwidth occupation while maintaining decoding precision.

Adaptive weighted reference sample derivation improves planar intra-prediction accuracy while lowering encoding complexity for high-resolution content.

Modified high-level syntax elements reduce bandwidth requirements by signaling scalability through universal reference picture lists.

Implicit adaptive motion vector predictor selection uses spatio-temporal fidelity to choose candidates, resolving complexity and overhead trade-offs.

A non-local adaptive loop filter selects optimal denoising technologies for image patches to enhance reconstructed video quality.

A chroma component corrector adjusts predicted pixel values using decoded pixels from multiple directions around a target block to enhance encoding efficiency.

Parallel filtering eliminates pre-deblocked sample buffering, reducing hardware complexity while maintaining decoding quality.

Decompression unit generates full-size and reduced-size uncompressed raw moving image files from compressed data.

Transcoding hint signals adapt prediction search techniques to reduce storage requirements while maintaining video output quality.

Conditional DMVR and BDOF application reduces calculation complexity while improving coding efficiency for high-resolution video.

Disables deblocking filters on subblock boundaries in affine video coding blocks, preventing over-smoothing and conserving processing resources.

A temporal filter adapts parameters based on video content to enhance coding efficiency.

Segmented binary arithmetic decoding reduces bitrate while maintaining high compression ratios for video data.

Grouping intra prediction modes reduces signaling overhead and improves compression efficiency in high-resolution video encoding.

An adaptive compression unit adjusts image refresh rates based on motion data.

Conditional convolution layers adapt to GOP structures, resolving sub-optimal motion flow construction in complex temporal configurations.

A GPU keyframe video codec organizes bit stream data into sub-blocks for parallel decoding.

Assigning shortest codes to frequent 'same as luma' modes improves coding efficiency by reducing bit usage.

Adaptive clipping bounds adjust dynamically to signal characteristics, preserving chroma precision and reducing distortion in video encoding.

Adaptive parameter arrangement reduces bitstream size by eliminating redundant signaling of coding tools.

Local global prediction modes use projected motion fields to code video superblocks.

Motion compensated temporal filtering circuitry detects motion vector edges to adjust pixel filtering strength for image processing.

A video encoding method projects three-dimensional images onto a polyhedron to generate rectangular pixel regions for compression.

Multi-layer attention network generates descriptive captions for video frames using a differentiable proposal mask.

Segmenting color index maps into prediction modes and residuals minimizes bit rate for screen content video coding.

Scaling motion vectors based on temporal distances improves prediction accuracy while managing coding complexity in high-resolution image processing.

Header syntax elements define adaptation parameter set constraints to improve chroma conversion precision while managing device complexity.

A video encoder calculates high resolution reference image blocks using a super resolution algorithm for local motion compensation.