Pre-processing reshapes video into the exact format a model expects: the right resolution, colour space, and value range. Done wrong, even a great model underperforms; done well, it is an easy, cheap accuracy gain that teams often overlook.
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
Pre-processing is the cheap accuracy gain teams often miss, since a model fed the wrong size or colour range underperforms. This volume covers pre-processing for ML on video in depth: decoding, resizing and cropping, colour and normalisation, frame sampling, and the deployment topologies that run it. Written by Nikolay Sapunov, CEO at Fora Soft.
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