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