Frame Extraction.

Frame extraction produces still images from a video source. It can support contact sheets, cover selection, computer vision datasets, or visual review, but each purpose asks for a different set of frames. Uniform time sampling is easy to describe; scene-based selection may better summarize changing content; a user-selected moment may need especially careful timing. Separate the selection rule from the decoder's behavior, and keep timestamps with the output instead of treating the resulting image files as context-free pictures.

The articles collected here examine both extraction mechanics and the records that make extracted images useful afterward. Read with a specific question: what evidence must the selected frames retain, and what would count as a missed moment? The frame extraction overview links timing, formats, and downstream analysis. A small representative clip is often the best first test. Inspect its exported sequence before increasing batch size, sampling density, or the number of model requests.