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November 23, 2022
Madrona awarded the 15th Annual Madrona Prize to the University of Washington's Paul G. Allen School of Computer Science & Engineering team working on the VOCAL system. VOCAL (Video Organization and Interactive Compositional AnaLytics) system enables users to extract semantic information from large quantities of unlabeled data without pre-trained models. VOCAL helps users organize their data, build domain-specific models as they go, and then search for interesting events. Ph.D. students Maureen Daum, Enhao Zhang, and Dong He worked together on the two VOCAL sub-projects that received the prize: Video Organization and Exploration and video search technology called Interactive Video Analytics for Compositional Queries. They were co-advised by Professor and Director Magda Balazinsk and Professor Ranjay Krishna, and they also worked with a collaborator (and Allen School graduate) from Microsoft, Brandon Haynes. Madrona is a venture capital firm based in Seattle, and has been investing in early-stage technology companies for more than 25 years.