Partition media titles into complexity clusters to assign specific encoding parameters, reducing computational waste and bandwidth usage.
Partitioning pictures into tiles and slices with NSQT constraints enables parallel decoding while reducing data transfer costs for high-resolution video.
Switches context models based on color format to improve coding efficiency and compression performance.
Prediction offset derived from reconstructed residual signals reduces absolute values of current block residuals before quantization.
Post-processing circuits modify hardware-generated bitstreams to meet diverse coding standards, eliminating the need for costly hardware redesigns.
Equalizing luma and chroma bit depths via bit-shifting reduces decoder complexity and improves coding efficiency for screen content.
Video coding apparatus generates two intra predictors using different modes and combines them via pixel-wise weights derived from a geometric block partition.
Constraining template matching prediction with full-pel precision reduces decoder complexity by eliminating sub-pel interpolation requirements.
An image decoding device derives motion compensation parameters by switching between uni-prediction and bi-prediction schemes based on prediction unit size.
Multi-hypothesis motion compensation coding segments prediction data using implicit flags to reduce signaling overhead.
A decoding device generates and filters prediction blocks using Wiener filter coefficients to minimize differences between bi-predicted motion references.
Applies differential zero tree coding to bi-predictive weighting parameters, reducing overhead bits while handling local brightness variations.
Adaptive depth data encoding segments occupied and unoccupied pixels into distinct subsets to minimize visual artifacts during transmission.
Encoder rounds motion vector precisions uniformly to generate candidate lists, reducing bandwidth usage.
A deblocking filter adjusts boundary strength to remove coding artifacts in scalable video enhancement layers.
Wavelet decomposition splits video frames into frequency subbands for adaptive HEVC encoding, resolving compression efficiency versus resolution scalability.
A multimedia streaming method calculates energy indices to select representations based on terminal power consumption.
Encoder selects variable weights for multiple reference arrays to form final video block predictions.
A deblocking filter adjusts pixel counts on block boundaries to reduce memory storage.
A video decoding apparatus splits coding units and determines a decoding order based on encoding information to optimize processing efficiency.
Palette coding maps repetitive pixel values to indices, resolving compression inefficiencies in discrete-tone screen content.
Parallel transcode engines resolve entropy encoding bottlenecks, enabling real-time display with reduced latency.
A deep neural network encodes three-dimensional data into compressed representations.
A method determines chroma prediction modes for image blocks using a palette mode to optimize encoding efficiency.
Detecting video frame fade-in and fade-out using block direct current component analysis to improve motion vector accuracy.
A video coding device adaptively selects motion vectors from neighboring blocks based on pixel value similarity to improve compression efficiency.
An image processing apparatus determines interpolated pixel values using directional segmentation and weighted sums of support pixels.
Computes a scale factor from temporal indices to order rescaling and transformation, resolving compression efficiency versus encoding complexity.
Iterative template matching reduces complexity and rounding errors by aligning search precision with motion vector accuracy.
A decoding apparatus determines intra prediction modes using neighboring block transform coefficients to enhance image quality.
A video encoder derives templates from neighboring samples to determine partition splitting directions.
Selective bilateral filtering signaling reduces bitstream overhead while maintaining video quality.
Intra-block copy prediction uses adaptation parameters to decode spatial locations of video samples within a single frame.
Deriving a chroma quantization parameter table based on flag data reduces transmission costs while maintaining image quality.
An image decoding apparatus specifies bit stream conformance for output layer sets to prevent unexpected decoder operations.
Segments chroma blocks into independent groups using separate intra prediction modes, resolving efficiency limits from shared mode constraints.
A picture partitioning coding method derives tile structures from bitstream signals to optimize image decoding.
A video decoder generates rectangular slices at picture corners to reduce bitstream coding amounts.
Conditional secondary transform signaling reduces decoding latency and complexity by selectively applying inverse transforms only when necessary.
A decoding apparatus determines an intra prediction value using sample values from a reconstructed area and a first reference block.
Adaptive resolution management scales video sub-frames using independent constants, eliminating full GOP re-coding to reduce bitrate.
Reverse-index selection of history-based motion vector predictors improves coding efficiency while managing memory storage requirements.
Segmenting video frames into base and enhancement layers resolves the trade-off between universal compatibility and optimal device-specific quality.
A video encoding apparatus separates differential image blocks into non-boundary and boundary domains for targeted processing.
Aligning reference information in disparity vector derivation resolves view index mismatches that cause incorrect data usage in 3D video coding tools.
Multi-level significance map scanning groups significant-coefficient flags to reduce computational complexity and memory access costs in video encoding.
Adaptive transform domain filtering reduces computational complexity while improving rate-distortion performance in video encoding.