Digital Video Signal Modification TRIZ Cases

Applying just-noticeable-difference thresholds to discrete cosine transform coefficients reduces file size while preserving perceptible quality.

Two-stage partitioning reduces computation for selecting coding unit sizes, preventing excessive processing loads in fixed-capacity devices.

Tri-level comparison results compress neighboring pixel data for sample adaptive offset processing, reducing internal memory requirements and hardware costs.

Sequence parameter set flags control the cross-component adaptive loop filter, resolving poor filtering effects and encoding performance trade-offs.

Adaptive loop filters adjust coefficients based on local image characteristics to reduce redundancy while managing computational complexity.

OLS mechanism selects output layers via ols_mode_idc to resolve decoder complexity versus scalability trade-offs.

Wavefront parallel processing encodes successive rows of coding tree units within rectangular portions to reduce decoder latency.

Rearranging pixels into divided pictures enables inter-divided-picture encoding.

Multiple video parsers split encoded bitstreams to decode frames in parallel, reducing latency from sequential processing bottlenecks.

A decoder filter unit applies sharpening or de-ringing operations to reference samples.

Segmented video transmission reduces network delay and resource overhead by delivering only the user's current viewing angle.

Interpolation methods replace pixel repetition in intra prediction, resolving trade-offs between device complexity and manufacturing precision.

A video processing system divides pictures into variable regions to apply adaptive loop filters.

A predictor palette initialization method constructs video coding palettes using index values to enhance compression efficiency.

Segmenting the indexed color history buffer into virtual instances allows one encoder to drive multiple displays without image corruption.

A video processing device partitions blocks using depth maps to improve coding efficiency.

An iterative video encoding system adjusts bit rates using quality metrics to reduce file sizes.

A video encoder selects two candidate motion vectors from neighboring blocks to encode a differential vector and index.

Bridge sections enable parsers to ignore specific fields, resolving format compatibility issues without transcoding.

A video codec adjusts template weights based on pixel similarity to refine motion prediction searches.

A video encoder adjusts coding modes using a dynamic rate distortion cost error threshold to manage computational load.

Dynamic preprocessing parameters adjust video quality based on time schedules to reduce unnecessary data transfer and processing resources.

Hierarchical coding unit splitting with difference quantization parameter signaling resolves compression efficiency and image quality trade-offs.

Processing circuitry categorizes reconstructed picture data sets to determine which reference information requires storage for subsequent decoding operations.

A video encoding apparatus disables specific coding tools based on block parameters to reduce pipeline dependency.

Far neighboring pixels generate predictive blocks, resolving coding quality deterioration from inaccurate texture representation in unavailable regions.

Segmenting transform processing into conditional stages improves coding efficiency while managing device complexity.

Hierarchical partitioning reduces coding overhead by transmitting maximum depth information instead of full block-size lists.

Signaling reference picture list information for slices with specific NAL unit types reduces transmission costs and storage overhead.

Switch frame type enables real-time video resolution changes within a sequence, avoiding the encoding time and computational overhead of intra-coded frames.

A saliency map guides video encoding to prioritize pixel importance.

Adaptive resolution selection based on reference frame motion vector energy reduces bandwidth usage while maintaining high PSNR in limited network conditions.

Determines view compensation patterns based on frame bit differences to balance coding calculations.

Atlas grouping structures compress view images into spatial regions to reduce data transmission volume while maintaining rendering quality.

Fractional-pel block vector offsets improve coding efficiency by resolving integer-pel alignment bottlenecks in repetitive nature content.

A decoding apparatus restores intra prediction modes by extracting bit stream data and adaptively filtering reference pixels to generate accurate prediction blocks.

Transform coefficient blocks transpose based on intra-prediction modes to optimize entropy coding context design.

Exponential Golomb binarization and predictor constraints resolve HEVC signaling complexity while maintaining compression efficiency.

A video encoding apparatus derives a second motion vector by adding a preset difference to an initial candidate, enriching the search pool.

Flooring-based buffer compression reduces candidate motion vectors, lowering memory usage and decoding complexity while maintaining estimation accuracy.

A video decoding system adjusts filtering strength and motion compensation parameters based on viewing distance and ambient light levels.

A video processing method resamples reference pictures using determined scaling ratios to convert between spatial resolutions.

Deriving adaptive filters from local templates improves prediction accuracy in inter coding blocks, reducing bit-rate while maintaining video quality.

Encoder selects illumination compensation parameters using reference picture statistics to reduce processing latency.

An independently coded region description box encapsulates segmented videos of various resolutions within a single track group for immersive media playback.

Selective transcoding adapts video standards to match receiver capabilities, resolving quality mismatches while minimizing processing overhead.

A local illumination compensation system stores parameters in a dedicated buffer to eliminate neighboring pixel access.

Adaptive transform unit splitting resolves the contradiction between conversion efficiency and signaling complexity in intra block copy video coding.