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Tech Papers 2026: This paper presents a Retrieval-Augmented Generation (RAG) system designed to demonstrate and amplify the value of large documentary archives.
Abstract
The proposed framework enables automatic retrieval and recomposition of documentary segments based on textual or visual queries, transforming static archives into dynamic, explorable knowledge spaces.
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Dynamic power control for sustainable broadcast transmitter networks
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AI-driven anonymisation that preserves human performance
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Search first, inspect visually when needed: A multi-agent architecture for semantic video archival retrieval
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Dynamic streaming content packaging with C2PA
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