Digital Video Signal Modification TRIZ Cases

Adaptive spatial resolution decoder reduces power consumption by dynamically adjusting video decoding complexity for portable devices.

A video processing method constructs a reduced candidate list of intra prediction modes derived from neighboring samples to streamline bitstream conversion.

Grouping point cloud data into levels of detail reduces encoding complexity while maintaining spatial accuracy.

A video encoder limits palette colors to coding unit size and removes duplicates using a binary vector.

A video encoder determines tool efficiency from performance and complexity metrics to configure encoding operations.

In-loop reshaping transforms video signals across domains to reduce bandwidth demand while maintaining high-resolution quality.

Bilateral matching refines affine motion vectors to boost prediction accuracy while reducing encoding complexity overhead.

A video transmitting system processes pixel data in portions to start encoding and outputting bitstreams before the full frame is received.

Conditional rule selection of 4-tap interpolation filters for intra-coded blocks improves prediction accuracy while managing computational complexity.

An asymmetrical 4-block partition form divides coding blocks into prediction units with varying dimensions to enhance inter-picture prediction accuracy.

A control module adjusts media stream encoding parameters based on segment transmit times.

An artifact reduction filter selects optimal pictures by comparing bit-rate distortion costs to generate compressed video streams.

A method selects target intra-prediction modes using adjacent block data, dimensions, statistics, and texture features for efficient encoding.

A media encoder splits image blocks using rotational symmetry masks to generate transform coefficients.

Deriving modified transform coefficients via adaptive low-frequency non-separable transforms based on target block dimensions.

Adaptive merge list reordering adjusts candidate order based on prediction accuracy to resolve coding efficiency versus complexity trade-offs.

Adjusts current video block prediction using values from previously coded blocks to refine encoding accuracy.

A deblocking filter calculates offsets from neighboring block pixels to smooth boundaries while preserving ramp signals.

A picture processing apparatus groups transform coefficients by frequency points to enhance compression efficiency.

A video transcoding device adjusts quantization parameters based on absolute transformed difference ratios to encode target frames.

Dynamic resource allocation between parallel motion estimation and coding units improves compression quality while meeting real-time processing constraints.

Thumbnail generation reduces bandwidth consumption while maintaining remote access capability for TV broadcasting headends.

A video decoder selectively applies deblocking filter parameters from a second syntax level based on control flags to simplify processing logic.

Determines horizontal and vertical transform kernels based on individual side lengths of a transform block to reconstruct residual signals.

A video coder derives cross-component linear model parameters using a fixed bit depth to reduce hardware resource consumption.

Weighted combination of spatial and block-copy predictions reduces artificial edges at block boundaries while maintaining high image quality.

A prediction unit divides large blocks into sub-blocks to refine motion vectors with reduced computational load.

Division units split images into arrangements for independent coding, reducing control complexity and hardware costs.

Deriving rectangular slice counts from subpicture deltas reduces signaling complexity while enhancing compression efficiency.

Padding frames with unknown pixels allows motion stabilization to reduce complexity without destroying original creator intent.