lavvelocity

lavvelocity is a cross-platform open-source library focused on velocity-based video processing. It provides tools to estimate motion fields and apply velocity-driven frame interpolation to improve smoothness, particularly in slow-motion and streaming scenarios. The library exposes a modular pipeline with a velocity estimation module, a motion compensation engine, and a frame synthesis component. It is designed to be used by researchers, video editors, and streaming services seeking more precise temporal resampling than traditional frame-blending schemes.

Implementation and API: lavvelocity is implemented in C/C++ with optional Python bindings. It integrates with FFmpeg and OpenCV for video input/output and format support and can leverage hardware acceleration on modern CPUs and GPUs. The core API offers functions to compute per-pixel velocity fields, perform temporal resampling, and apply motion-compensated denoising. Command-line tools are provided for quick tests, while a C API and Python bindings enable embedding in larger workflows. The project uses the MIT license and emphasizes compatibility with standard video codecs and container formats.

History and usage: The project originated in 2022 as a collaboration among open-source contributors focused on high-quality motion estimation for frame interpolation. Since 2023, regular releases have added performance optimizations, GPU backends, and better integration with FFmpeg filters. Common use cases include slow-motion rendering, motion-stabilized playback, and video enhancement in broadcast pipelines. Limitations include computational cost and the need for high-quality input to achieve accurate velocity estimates. See also: FFmpeg, OpenCV, LAV Filters, frame interpolation.