{"id":835371,"date":"2022-11-17T06:00:11","date_gmt":"2022-11-17T05:00:11","guid":{"rendered":"https:\/\/bebeez.it\/non-categorizzato\/madrona-awards-2022-madrona-prize-to-uw-video-projects-that-make-video-content-searchable-without-trained-models\/"},"modified":"2022-11-17T06:00:11","modified_gmt":"2022-11-17T05:00:11","slug":"madrona-awards-2022-madrona-prize-to-uw-video-projects-that-make-video-content-searchable-without-trained-models","status":"publish","type":"post","link":"https:\/\/bebeez.it\/en\/private-capital-in-north-america\/madrona-awards-2022-madrona-prize-to-uw-video-projects-that-make-video-content-searchable-without-trained-models\/","title":{"rendered":"Madrona Awards 2022 Madrona Prize to UW Video Projects that Make Video Content Searchable Without Trained Models"},"content":{"rendered":"SEATTLE--(BUSINESS WIRE)--Madrona awarded the 15th Annual Madrona Prize last night to the University of Washington\u2019s Paul G. Allen School of Computer Science &amp; 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 Com<div class=\"leaky_paywall_message_wrap\"><div id=\"leaky_paywall_message\"><a href=\"https:\/\/bebeez.it\/abbonati\/\">Abbonati<\/a> o <a href=\"https:\/\/bebeez.it\/mio-account\/\">Accedi<\/a> per leggere il resto di questo contenuto.<\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>SEATTLE&#8211;(BUSINESS WIRE)&#8211;Madrona awarded the 15th Annual Madrona Prize last night to the University of Washington\u2019s Paul G. Allen School of Computer Science &amp; 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 [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[49625],"tags":[],"settori":[],"slider_categorie_and_home_page":[],"class_list":["post-835371","post","type-post","status-publish","format-standard","hentry","category-private-capital-in-north-america"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Madrona Awards 2022 Madrona Prize to UW Video Projects that Make Video Content Searchable Without Trained Models - BeBeez<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/bebeez.it\/en\/private-capital-in-north-america\/madrona-awards-2022-madrona-prize-to-uw-video-projects-that-make-video-content-searchable-without-trained-models\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Madrona Awards 2022 Madrona Prize to UW Video Projects that Make Video Content Searchable Without Trained Models - BeBeez\" \/>\n<meta property=\"og:description\" content=\"SEATTLE--(BUSINESS WIRE)--Madrona awarded the 15th Annual Madrona Prize last night to the University of Washington\u2019s Paul G. Allen School of Computer Science &amp; 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. 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