AI RESEARCH
ForeSea: AI Forensic Search with Multi-modal Queries for Video Surveillance
arXiv CS.CV
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ArXi:2603.22872v1 Announce Type: new Despite decades of work, surveillance still struggles to find specific targets across long, multi-camera video. Prior methods -- tracking pipelines, CLIP based models, and VideoRAG -- require heavy manual filtering, capture only shallow attributes, and fail at temporal reasoning. Real-world searches are inherently multimodal (e.g., "When does this person join the fight?" with the person's image), yet this setting remains underexplored. Also, there are no proper benchmarks to evaluate those setting - asking video with multimodal queries.