Transposing left reference columns into rows for directional intra prediction.
Neural networks estimate coded size to prevent buffer overflow in real-time video encoding.
Ordering motion vector predictors by probability reduces decoding complexity while improving compression efficiency in video codecs.
Derives predictive block vectors from candidate blocks to improve screen content reconstruction quality and compression performance.
A dynamic tier approach reallocates video channels to lower bitrate profiles during peak usage periods.
A universal video codec applies dynamic compression levels to frame blocks, balancing processing load against data size.
Predicting SAO and ALF filter parameters before deblocking filtering reduces circuit size and power consumption while maintaining high-resolution video quality.
Adaptive encoding parameters reduce point cloud data block redundancy, resolving the trade-off between large bit stream size and slow decoding efficiency.
A video audio transmission system generates genlock signals from common time point information to synchronize device clocks.
Adjusts 3D data positions via directional scaling to maintain accurate size relationships between physical objects during reduction or enlargement.
A block-by-block image decoding method uses a fixed number of merging candidates to maintain consistent bitstream processing.
Palette mode video coding adapts binarization processes via syntax elements, resolving compression efficiency trade-offs in high-resolution data.
Narrows intra prediction modes via cost thresholds and heterogeneity indices to reduce computational complexity while maintaining decoded video quality.
A video core downscaler computes and writes frames directly to external memory, reducing resource consumption.
Constraining CC-ALF coefficients by luma bit-depth prevents intermediate data from exceeding 16-bit limits, enabling feasible software implementation.
Adaptive clipping replaces residual elements with low-pass filtered values to maintain reconstructed video quality within defined bounds.
A separable graph-based transform adapts to video block statistics using selected kernels.
Adaptive temporal and spatial filtering blends processing types based on motion detection, reducing computational complexity while maintaining visual quality.
Adaptive context modeling uses block shape and depth to resolve the trade-off between coding efficiency and computational complexity.
Free Universal Image Format uses truncation offsets for progressive rendering, eliminating multiple file variants while maintaining compatibility.
A directional intra-prediction apparatus selects mode counts based on block size to optimize video coding efficiency.
Processor generates maximal scale factors and forward reshaping functions to prevent oversaturation in high dynamic range images.
A transmission user equipment adjusts point cloud parameters based on channel state to optimize data transfer efficiency.
A video decoder acquires offset parameters for current blocks using reference view data to apply sample adaptive offsets accurately.
A video decoder infers transform types for transform units using spatial neighbors to reduce bit costs.
A camera image processing device segments video frames based on detected oscillation frequency to reduce bitrate requirements.
A video encoder speeds up screen content processing by skipping unnecessary mode evaluations and using hash-based block matching.
Segmenting depth image blocks via boundary pixels and chain codes resolves the trade-off between encoding efficiency and prediction complexity.
Segmenting background picture bitstreams prevents decoding freezes in bandwidth-constrained scenarios while maintaining coding efficiency.
Segmenting the block search area into smaller regions reduces encoder complexity while maintaining high coding efficiency for natural sequences.
A video encoding method corrects prediction signals using closer decoded reference pixels to reduce residual energy.
A scalable video coding controller interleaves multiple modulation streams to adapt transmission quality automatically.
A concealment module estimates quality for regions of interest to decide whether to apply algorithms to lost video frames.
A video decoding method limits intra prediction modes using an allowed set to reduce coding complexity.
A moving image processing device manages execution states of pixel blocks to enable parallel intra-prediction processing.
A picture prediction method filters initial colour component values using a preset network model and side information from reference components.
A video coding system selects up-sampling filters based on phase displacement information between layers.
A deblocking filter adapts to reconstructed block size and location, applying clipping values to modify video samples.
Short Distance Intra Prediction adapts partition shapes based on distance from reference samples, reducing prediction errors caused by square block limitations.
Spatial varying transforms reduce signaling overhead by limiting candidate positions, improving compression efficiency.
A method extracts video patches based on pruning priority to synthesize viewport content.
Constructs motion candidate lists for sub-block intra block copy to improve compression efficiency while managing device complexity through segmentation.
Flexible picture dimensions aligned with minimum coding unit sizes resolve undefined motion vector operations while reducing implementation complexity.
Uniform quantization with adaptive offsets for RDPCM residual blocks improves bandwidth efficiency.
A video encoder adjusts a dynamic quantization rounding offset alongside step size to preserve fine details in smooth image areas.
A video encoding device applies a second transformer to specific regions of transform coefficients to optimize computational resource usage.
A network monitoring system captures video data packets to calculate Quality of Experience scores based on bit rate and session duration.
A video encoding method sets hypothetical reference decoder headers to enable straightforward bitstream concatenation.
Segmenting 67 intra prediction modes into a dynamic Most Probable Mode list reduces computational complexity while maintaining high prediction accuracy.