{"id":71415,"date":"2017-07-31T14:22:55","date_gmt":"2017-07-31T21:22:55","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2017\/07\/this-facial-recognition-system-tracks-how-youre-enjoying-a-movie"},"modified":"2017-08-02T21:01:25","modified_gmt":"2017-08-03T04:01:25","slug":"this-facial-recognition-system-tracks-how-youre-enjoying-a-movie","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2017\/07\/this-facial-recognition-system-tracks-how-youre-enjoying-a-movie","title":{"rendered":"This facial recognition system tracks how you\u2019re enjoying a movie"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/this-facial-recognition-system-tracks-how-youre-enjoying-a-movie2.jpg\"><\/a><\/p>\n<p>As moviemaking becomes as much a science as an art, the moviemakers need ever-better ways to gauge audience reactions. Did they enjoy it? How much\u2026 exactly? At minute 42? A system from Caltech and Disney Research uses a facial expression tracking neural network to learn and predict how members of the audience react, perhaps setting the stage for a new generation of Nielsen ratings.<\/p>\n<p><a target=\"_blank\" href=\"https:\/\/www.disneyresearch.com\/publication\/factorized-variational-autoencoder\/\" rel=\"noopener\">The research project<\/a>, just presented at IEEE\u2019s Computer Vision and Pattern Recognition conference in Hawaii, demonstrates a new method by which facial expressions in a theater can be reliably and relatively simply tracked in real time.<\/p>\n<p>It uses what\u2019s called a factorized variational autoencoder \u2014 the math of it I am not even going to try to explain, but it\u2019s better than existing methods at capturing the essence of complex things like faces in motion.<\/p>\n<p><!-- Link: <a href=\"https:\/\/techcrunch.com\/2017\/07\/25\/this-facial-recognition-system-tracks-how-youre-enjoying-a-movie\/\">https:\/\/techcrunch.com\/2017\/07\/25\/this-facial-recognition-sy...g-a-movie\/<\/a> --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>As moviemaking becomes as much a science as an art, the moviemakers need ever-better ways to gauge audience reactions. Did they enjoy it? How much\u2026 exactly? At minute 42? A system from Caltech and Disney Research uses a facial expression tracking neural network to learn and predict how members of the audience react, perhaps setting [\u2026]<\/p>\n","protected":false},"author":367,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1509,2229,6],"tags":[],"class_list":["post-71415","post","type-post","status-publish","format-standard","hentry","category-entertainment","category-mathematics","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/71415","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/367"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=71415"}],"version-history":[{"count":1,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/71415\/revisions"}],"predecessor-version":[{"id":71577,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/71415\/revisions\/71577"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=71415"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=71415"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=71415"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}