Depth map filter generates auxiliary depth maps to improve view synthesis prediction accuracy in 3D video coding.
Applying a 3D transform to residual cuboids reduces computational complexity and memory requirements while improving compression performance.
Calculates target weight values using surrounding matching positions to improve prediction accuracy for non-rectangular object edges in video encoding.
Scaling motion vectors reduces search range memory, enabling 8K FRC chips with lower power consumption.
Coding offset magnitude and sign separately lowers bit usage and eliminates clipping operations for HEVC video compression.
A video decoding method configures reference samples using reconstructed lines adjacent to current blocks.
A quantization control method adjusts feedback amounts to stabilize encoding bit rates during video processing.
A reference sample filtering method for non-square blocks uses block shape and prediction mode parameters to generate accurate prediction blocks.
Adjusting luma sample dimensions based on YUV format eliminates redundant chroma blocks to improve encoding efficiency.
Adaptive Colour Transform converts RGB to YCoCg for single tree partitions.
Embedding temporal scalability parameters in HEVC streams resolves the trade-off between broadcast quality and transmission efficiency for high-speed playback.
Independent horizontal and vertical motion vector resolutions balance compression efficiency with video quality.
Encoder rescales reference frames to handle dramatic bandwidth changes while maintaining fixed output resolution.
Encoder device adjusts compression settings using signal quality and content complexity to resolve the trade-off between video quality and processing time.
The apparatus segments reference blocks to exclude collocated regions, reducing memory requirements while maintaining prediction accuracy for intra block copy modes.
Weight maps from applications guide video encoders to prioritize quality in specific blocks, reducing bandwidth while maintaining AI-relevant image fidelity.
Geometric partitioning divides video blocks into subblocks for targeted prediction information extraction.
A processing device adjusts multimedia content rendering quality based on real-time power supply state analysis.
A video processing method reorders motion vector prediction candidates through multiple passes to improve coding efficiency.
Segmenting intra prediction modes by variance reduces bit rate for mode signaling while maintaining quality.
Parallel read cycles transfer rectangular data regions from segmented memories, maintaining throughput during spatial-to-frequency domain transformations.
An inter-layer prediction coding apparatus evaluates pixel error localization to skip orthogonal transformation in specific blocks.
Modulates quantization parameters using macroblock luminance, motion, and edge statistics to optimize bit allocation.
Deriving linear prediction parameters from neighboring regions to generate accurate prediction samples for image blocks.
Sub-block based ATMVP derivation improves prediction precision while increasing device complexity and processing time.
An adaptive filter selects reference pixel and prediction value filtering based on neighboring block information to optimize intra-prediction accuracy.
A video decoder parses bitstreams using default spatial position relationships for sub-pictures to minimize data overhead.
A decoding method restricts end-of-bitstream network access layer identifiers to zero to prevent incorrect processing of reference picture sets.
A video encoding system divides source files into chunks and allocates bandwidth based on complexity data to produce encoded segments.
A method generates multiple two-dimensional virtual camera views from a three-dimensional scene to enable adaptive streaming of volumetric content.
A multiple transform selection process applies a common transform to vertical and horizontal video blocks.
Encoding method segments digital image coefficients for individual prediction based on amplitude and position characteristics.
Deriving second motion information from first motion information reduces bitstream size, improving transmission rates and coding compression efficiency.
Segmenting reference sample memory into constrained regions reduces access complexity while maintaining prediction flexibility for efficient video coding.
Image decoding apparatus constructs AMVP and merge candidate lists to generate prediction blocks for current video blocks.
A candidate list construction method derives motion vectors from spatial and temporal blocks to improve prediction accuracy.
Intermediary neural networks resolve bandwidth-quality contradictions by recovering information lost in lossy SAR image compression.
A low-complexity transform method uses discrete Fourier transform scaling to approximate DST-7 or DCT-8 for video signal processing.
Segmenting transform units into sub-blocks with nested scan patterns reduces memory consumption and device complexity in high efficiency video coding.
Cross-component adaptive loop filtering reduces computational complexity and syntax overhead by selecting predefined filter coefficients from a unified set.
A dedicated intra block copy buffer initialized with default values simplifies decoder logic and reduces memory overhead.
A video coding data structure incorporates extended units along the periphery to store default values for encoding operations.
A candidate motion information list construction method supplements insufficient entries using space domain neighboring block data.
A plenoptic image encoder processes a central block without spatial prediction while interleaving unidirectional and bidirectional predictions for surrounding blocks.
An intermediary byte prefix on HEVC units enables legacy decoders to discard non-compatible data while modern decoders parse both standards.
Context-adaptive inter-layer syntax element coding uses neighboring block information to form probability models for video data encoding.
A joint chroma coding mode processes Cb and Cr residuals in the frequency domain using pixelwise linear combination.
Sorting rendered features into depth layers resolves the contradiction between compression efficiency and variable-perspective playback capability.