Sub-picture raster scanning coding reduces on-chip memory requirements while maintaining coding efficiency.
Truncated binary binarization reduces signaling overhead for intra prediction modes, lowering data volume while maintaining image quality.
Convert neural network weights into pseudo video data to reduce storage requirements and memory bandwidth demands.
A video decoder parses level information and constraint data within a profile_tier_level syntax structure to streamline decoding operations.
Convex hull operations optimize encoding parameters across video chunks, reducing computational resource consumption while maintaining visual quality.
Clipping luma and chroma coefficients within defined ranges before combination improves coding efficiency while reducing processing complexity.
Signaling entry point offsets via WPP and tile flags reduces data transmission costs while maintaining high-resolution image quality.
A media encoder selectively skips evaluation stages during encoding to reduce computational complexity.
A decoding apparatus derives filter parameters from attribute images to apply deep learning post-filters.
A dynamic pixel rate video system updates individual pixels at varying refresh rates to decouple processing from fixed frame intervals.
Segmenting video frames into feature-based regions enables region-specific encoding parameters.
Averaging luma motion vectors to derive chroma affine vectors reduces bit rate while maintaining high-definition video quality.
Deriving motion vector predictors from depth maps reduces bit rates while maintaining stereo viewing quality for autostereoscopic displays.
Standardizing the temporal search order reduces system complexity and processing time while maintaining coding accuracy in 3D video.
Inverse scanning unit segments quantized coefficient components into subsets to reduce residual block coding bits.
A video coding method uses conditional signaling to control separate merge lists and multi-hypothesis prediction.
An electronic device partitions 3D point cloud geometry into blocks to select optimal encoding modes.
A video signal decoder adds an intra prediction mode as a sub-macroblock type to enhance coding efficiency.
Bypassing CABAC coding for specific motion vector predictor index bits reduces device complexity while maintaining coding efficiency in affine merge modes.
Client feedback on VSYNC timing enables the server to shift frame rendering, reducing display latency without compromising visual stability.
A video signal processing method constructs a merge candidate list using spatial, temporal, and history-based candidates for inter prediction.
A video coder applies simplified depth coding to process DC residual values across multiple depth intra prediction modes.
Scaling base layer motion vectors derives inter-layer candidates for merge mode prediction, reducing redundant data transmission in scalable video coding.
A video encoding method divides frames into portions with unique identifiers and arrangement data for flexible extraction.
Video processing engines estimate quantization parameters for coding tree unit rows to enable concurrent frame encoding.
Deriving Picture Order Counter least significant bits from temporal layer IDs reduces bitstream redundancy in video coding.
Separate dependency indications for each enhancement layer reduce decoding complexity while maintaining coding efficiency.
A system adjusts encoding quantization parameters using implicit rate control and local flatness analysis to optimize image data processing.
Extending temporal direct mode to backward reference pictures improves compression rate by selecting the most suitable motion vector.
A frame throttle mechanism selectively drops video frames before decoding to manage processing resources efficiently.
Motion vectors estimate pixel block variance from reference frames, reducing computational load while maintaining measurement precision.