A hallucination is a confident wrong answer — a misread caption, a fabricated fact, an object that is not in the frame. It cannot be fully removed, so products mitigate it with retrieval, grounding, verification steps, and human review for high-stakes output.
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
A hallucination in a video summary or caption looks just as confident as a correct answer, which is why it slips past users. This volume covers hallucination in multimodal models: grounding with retrieval, search and RAG over video archives, verification steps, and when a custom CV model beats a VLM. Written by Nikolay Sapunov, CEO at Fora Soft.
Seeing hallucination in your VLM output on real footage?
Send us cases where the model invented facts, and we will propose grounding, retrieval and verification steps with measured error reduction. 250+ video products shipped since 2005.
