Adaptive quantization and dynamic range signaling resolve the trade-off between SAO classification precision and transmission overhead.
Modified scan order enables binary arithmetic coding pipelining, eliminating BAC engine stalls caused by data dependencies in significance map decoding.
A StereoVideoBox metadata structure simplifies signaling for stereoscopic view frames in omnidirectional media.
Tile segmentation enables parallel encoding while maintaining loop filter dependencies to prevent quality degradation.
Encoder calculates quantization parameter changes from source block statistics to adjust coding blocks.
A video encoding method generates candidate reference frames through adaptive temporal filtering to improve prediction accuracy.
A video decoding apparatus processes high level syntax by extracting general constraint information from the bitstream.
Correction mask segments compression and color processing to resolve blurred text edges and incorrect colors without increasing bandwidth.
Distance-weighted multi-block reference prediction improves coding efficiency by reducing bitrate requirements for similar visual quality.
Super-resolution loop restoration framework upscales reconstructed images using scaling factors and applies filtering parameters to enhance visual quality.
A video processing system derives motion information for child blocks in parallel to update history-based motion vector prediction tables.
Selective frequency table updates resolve the trade-off between compression performance and processing overhead in video coding.
Second pass video coding adjusts block modes and quantization parameters without recalculating motion vectors, reducing computational complexity.
Partition video frames into regions with distinct resolutions to adapt encoding to transmission bandwidth.
A video encoder divides input pictures into regions of interest and non-interest areas to apply distinct quantization parameters.
A hybrid prediction tool blends weighted intra and inter prediction samples to determine target predictions for video blocks.
Segmenting video frames into independent tiles enables parallel thread execution, reducing computational complexity and accelerating encoding speed.
Signaling long term reference picture identifiers in slice headers reduces bit usage while ensuring bitstream conformance and interoperability.
Shannon wavelet decomposition selects relevant coefficients for holographic sub-hologram reconstruction, reducing calculation time and memory usage.
Dividing large coding blocks into multiple areas allows each sub-region to use a nearby control point, improving motion vector prediction accuracy.
A processing system identifies video bitrate variants by calculating image distances between frames and a reference copy.
Aligning SAO and ALF boundaries reduces line buffer requirements, lowering computational complexity and power consumption.
Geometric reference picture transformations enhance video encoding prediction accuracy while reducing bitrate overhead from signaling scaling factors.
Direct motion vector derivation from geometric models eliminates inefficient estimation processes, reducing data rates for high-definition video storage.
A decoding device partitions video blocks into non-rectangular shapes to enable adaptive intra and inter prediction modes.
Scaling motion vectors toward a fixed reference picture reduces cache miss rates and memory bandwidth requirements during 3D video coding.
Consolidating MP4 metadata fields and omitting redundant NALUs to reduce bandwidth overhead in lower bit rate scenarios.
A video encoding apparatus determines second reference information from previously encoded pictures to generate predicted images.
Segmented overlay modules resolve the trade-off between processing performance and visual quality in adaptive streaming.
Extends CC-ALF coefficient values beyond power-of-two multiples to calculate residual corrections using shifts and additions.
Encoder uses parity-segmented reference lists to switch between same and opposite field references for B-picture generation.
Prediction dependent residual scaling replaces domain mapping with direct luma averaging, reducing latency and memory requirements in video coding.
A shared residual up-sampling circuit uses transpose access to process intermediate results via a single kernel.
A resolution-based decoding method applies patch-level scaling factors to preserve important visual data in multiview video streams.
A video decoder identifies most probable modes from neighboring blocks to determine prediction candidates.
Geometry transformation-based adaptive loop filtering applies multiple filter supports to reconstructed video units for decoding.
A video coding system generates virtual reference frames based on hierarchical levels to decode current pictures.
Segmenting features into frequency components resolves the trade-off between detection accuracy and processing complexity in natural scene text recognition.
Motion vector prediction filters reference lists by resolution thresholds to reduce computational resources while maintaining encoding accuracy.
Parameter sets convey signaling layer dependency information to resolve contradictions between image quality and coding complexity.
Geometric model-based partitioning modes enable fast mode decision in video encoders.
A multi-view video decoding method splits depth image blocks using binary maps derived from texture reference samples to optimize partitioning.
A video decoding method determines chroma residual scaling parameters using luma samples and specific binarization.
Signaling temporal reference pictures in slice headers maintains consistency across dependent views, reducing memory access bottlenecks in decoders.
A video coding method partitions largest coding units based on intra prediction types to optimize compression efficiency.
Deriving filters from template predictions improves prediction accuracy while managing encoding complexity.
A hybrid binarization method segments codewords into prefix and suffix parts using Truncated Rice and exp-Golomb processes.
A video image coding data transmitter segments video into basic and supplementary hierarchies for network-adaptive delivery.