AI RESEARCH

Catalogue Grounded Multimodal Attribution for Museum Video under Resource and Regulatory Constraints

arXiv CS.LG

ArXi:2603.11147v1 Announce Type: cross Audiovisual (AV) archives in museums and galleries are growing rapidly, but much of this material remains effectively locked away because it lacks consistent, searchable metadata. Existing method for archiving requires extensive manual effort. We address this by automating the most labour intensive part of the workflow: catalogue style metadata curation for in gallery video, grounded in an existing collection database.