josev2046/AI-Insights-Blueprint: A semantic video search prototype

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Authors: MA Jose Velazquez
Cited by: 0

Abstract

This document outlines my architectural design and conceptual framework for a rapid semantic visual search prototype. The system is engineered to transcend the inherent limitations of metadata-dependent archives by leveraging neural video understanding, facilitating natural language discovery within large-scale visual repositories.

Fields of Study & Subjects

Video Analysis and Summarization Multimodal Machine Learning Applications Information Retrieval and Search Behavior

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 February 2026
Language
EN