Matrix-based intra prediction maps MIP modes to block dimensions and color components to improve coding efficiency without excessive complexity.
A model identifier in the bitstream keeps encoder and decoder AI models synchronized, enabling updates with low bitrate overhead.
Distribution expansion uses scale and shift parameters to align reconstructed feature maps with original statistics and protect machine vision performance.
Adaptive cross-component filtering uses reconstructed luma samples to improve chroma inter prediction, cutting bit-rate while preserving video quality.
Fixed-length signaling of CTU and transform block size limits improves video decoding control while reducing complexity in VVC-style bitstreams.
Region-based tile levels enable selective viewport decoding and parallel video processing for faster handling of high-resolution 360° content.
Dynamic luma-based chroma grain reconstruction preserves film grain while cutting bit rate and improving decoder memory use and speed.
Directly matching MIP prediction size to the coding block removes up-sampling, cutting VVC encoding and decoding complexity and storage use.
Adaptive forward/backward reference vector selection improves temporal direct coding and raises video compression efficiency.
High-frequency component separation helps image prediction models preserve edges, cut compression noise, and improve encoding efficiency.
Boundary candidates are ranked without reconstructing current-block samples, improving geometric partition coding efficiency while cutting pipeline latency.
Matching the MIP prediction size to the coding block removes up-sampling in VVC and reduces encoding and decoding complexity.
Multi-pel interval candidate selection expands vector options while cutting template-matching calculations and coding delay in video decoding.
Representative values from current and neighboring blocks guide in-loop filter selection to cut buffer use while preserving image quality.
Suggested default color and material values in the bitstream help renderers fill missing viewport pixels with less decoding cost and fewer artifacts.
Dual-camera frame queues and codec-specific data enable Android to generate and play synchronized MV-HEVC spatial video.
Late-stage LIC derivation after final motion-vector refinement cuts inter prediction time while preserving coding accuracy in video codecs.
Weighted blending across partition boundaries improves inter prediction accuracy while preserving encoding efficiency for high-resolution image coding.
A VQ codebook compensates quantized and zeroed transform coefficients to improve reconstructed block quality in video decoding.
Using same-size MIP blocks in picture coding removes up-sampling, reducing VVC encoding and decoding complexity and storage demand.
Sub-block SAD candidates and delta motion vectors let the decoder refine motion information for better high-resolution and 3D video compression.
Reduced-data reference images are sent back from the receiver so the sender can verify correct remote image display over long-distance links.
Bi-prediction with multiple block vectors improves intra block copy coding efficiency while limiting added processing complexity in video conversion.
Relative angle mapping aligns intra prediction modes with block shape to reduce angular deviation and improve VVC coding efficiency.
Relative angle mapping aligns borrowed and wide angular modes with block shape, improving VVC intra prediction accuracy and coding efficiency.
Separate flags for inter and enhanced prediction filters improve luma-chroma discontinuity handling without unnecessary coding complexity.
Spatially varying quality parameters encode panoramic and spherical image regions by location to cut processing load while preserving reproduction accuracy.
Using two candidate intra-prediction modes and extra bit mapping, this case cuts codeword length to improve video compression efficiency.
Using luma edge direction and strength to classify chroma samples, this case cuts video bit rates while preserving coding quality.
Luma residuals are filtered to predict chroma residuals, improving video compression efficiency while preserving image quality.
Differential signaling of intra prediction directions reduces bits for less likely modes while maintaining video block coding efficiency.
NNPFC SEI signaling clarifies post-filter output picture generation, improving coding quality while reducing decoder ambiguity and errors.
Residual and optical flow hyperprior encoding cuts video bitrate overhead while preserving quality and limiting full-frame encoding complexity.
Derive chroma prediction samples from color sampling mode to cut internal memory use in picture block prediction hardware.
Parallel interpolation prediction across multiple block samples speeds video encoding and decoding while preserving block reconstruction flow.
Neighbor-based sign hypotheses improve transform coefficient reconstruction, cutting sign bits while preserving video decoding quality.
Luma-based offset mapping filters chroma samples during video decoding to improve compression ratio while keeping decoding complexity manageable.
Moving sub-picture layout data from PPS to SPS cuts redundant signaling, lowers decoder resource use, and reduces packet-loss errors.
Adaptive DCT-2 and DST-7 selection by transform block shape cuts video bitrate while preserving compression efficiency and complexity.
Caches and decodes GOP-based media segments on the fly to enable real-time rewind playback with lower memory use and faster loading.
Cumulative row and column pixel differences quantify frame blockiness, enabling remedial actions with lower computational burden.
A dominant mode flag cuts intra prediction signaling data and computation, easing memory and processing demands in high-resolution video decoding.
Block vectors and scaling factors let video codecs compensate local illumination variation while improving compression efficiency and video quality.
Chroma-format-specific down-sampling filters improve CCLM intra prediction for 4:2:0, 4:2:2, and 4:4:4 coding, cutting distortion and bitrate.
Multi focal plane prediction decomposes prior frames into depth layers to cut 3D video bandwidth and coding load during viewpoint changes.
Conditional disabling of CCALF, chroma ALF, DQ, and SDH improves video coding efficiency while limiting unnecessary processing overhead.
Channel-wise PMF grouping and LUT-based Huffman coding cut neural codec memory, hardware area, and power while preserving compression quality.
An SPS flag marks only needed sub-pictures as temporal motion constrained, enabling independent extraction without wasting coding and decoder resources.
Bi-predicted reference templates enable local illumination compensation during motion prediction, improving coding quality while limiting artifacts.
Sub-block intra prediction with adaptive pixel lines, selective filtering, and pixel correction improves high-resolution coding efficiency.