Frame sampling picks a subset of frames — evenly spaced, or where motion happens — so a VLM sees the gist without paying to process every frame. The sampling rate is a central accuracy-versus-cost knob in video understanding.
The book · Volume 6 of 7
AI for Video: A Complete Guide to Intelligence in Video Products: From Models and Inference to Computer Vision, Speech, Search, and Generative Video
Frame sampling decides whether a vision-language model sees the moment that matters or skips it to save tokens. This volume covers frame sampling in detail: uniform and motion-based selection, token streaming in video VLMs, search and RAG over long footage, and the cost of video understanding. Written by Nikolay Sapunov, CEO at Fora Soft.
Choosing a frame sampling strategy for long videos in a VLM?
Send us example videos and questions, and we will test sampling strategies and report accuracy and token cost per hour of footage for each. 250+ video products shipped since 2005.