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.

Book cover: AI for Video, Volume 6 of the Fora Soft Video Engineering Handbook

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.

Read it on Amazon →Kindle & paperback · Fora Soft Video Engineering Handbook

Choosing a frame sampling strategy for long videos in a VLM?

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