{"id":14790,"date":"2019-06-25T12:14:32","date_gmt":"2019-06-25T16:14:32","guid":{"rendered":"https:\/\/michigan.it.umich.edu\/news\/?p=14790"},"modified":"2024-07-08T06:05:24","modified_gmt":"2024-07-08T10:05:24","slug":"fighting-fake-videos-with-improved-computer-vision","status":"publish","type":"post","link":"https:\/\/michigan.it.umich.edu\/news\/2019\/06\/25\/fighting-fake-videos-with-improved-computer-vision\/","title":{"rendered":"Fighting fake videos with improved computer vision"},"content":{"rendered":"\n<figure class=\"wp-block-embed-youtube wp-block-embed is-type-video is-provider-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"BubbleNets: Video object segmentation for computer vision\" width=\"665\" height=\"374\" src=\"https:\/\/www.youtube.com\/embed\/9yoSF-oVtRg?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>Contributing to a project that aims to detect \u201cdeepfake\u201d videos, U-M engineers developed software that improves a computer\u2019s ability to track an object through a video clip by 11% on average.<\/p>\n\n\n\n<p>The software, called BubbleNets, chooses the best frame for a human to annotate. In addition to helping train algorithms for spotting doctored clips, it could improve computer vision in many emerging areas such as driverless cars, drones, surveillance and home robotics.<\/p>\n\n\n\n<p>\u201cThe U.S. government has a real concern about state-sponsored groups manipulating videos and releasing them on social media,\u201d said <strong>Brent Griffin<\/strong>, U-M assistant research scientist in electrical and computer engineering. \u201cThere are way too many videos for analysts to assess, so we need autonomous systems that can detect whether or not a video is authentic.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Contributing to a project that aims to detect \u201cdeepfake\u201d videos, U-M engineers developed software that improves a computer\u2019s ability to track an object through a video clip by 11% on average. The software, called BubbleNets, chooses the best frame for a human to annotate. In addition to helping train algorithms for spotting doctored clips, it could improve computer\u2026 <span class=\"read-more\"><a href=\"https:\/\/michigan.it.umich.edu\/news\/2019\/06\/25\/fighting-fake-videos-with-improved-computer-vision\/\">Read More &raquo;<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":14792,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","_umich_oidc_access":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_ef_editorial_meta_date_first-draft-date":"","_ef_editorial_meta_paragraph_assignment":"","_ef_editorial_meta_checkbox_needs-photo":"","_ef_editorial_meta_number_word-count":"","footnotes":""},"categories":[5],"tags":[669,65,115],"class_list":["post-14790","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-campus-news","tag-fake-multimedia","tag-social","tag-video"],"uagb_featured_image_src":{"full":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/07\/computer-vision-finding-the-best-teaching-frame-in-a-video-for-fake-video-fightback-bubblenets003-e1563466881841.jpg",629,420,false],"thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/07\/computer-vision-finding-the-best-teaching-frame-in-a-video-for-fake-video-fightback-bubblenets003-e1563466862976-200x134.jpg",200,134,true],"medium":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/07\/computer-vision-finding-the-best-teaching-frame-in-a-video-for-fake-video-fightback-bubblenets003-e1563466862976-300x200.jpg",300,200,true],"medium_large":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/07\/computer-vision-finding-the-best-teaching-frame-in-a-video-for-fake-video-fightback-bubblenets003-e1563466862976-768x513.jpg",665,444,true],"large":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/07\/computer-vision-finding-the-best-teaching-frame-in-a-video-for-fake-video-fightback-bubblenets003-e1563466862976-700x467.jpg",600,400,true],"1536x1536":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/07\/computer-vision-finding-the-best-teaching-frame-in-a-video-for-fake-video-fightback-bubblenets003-e1563466881841.jpg",629,420,false],"2048x2048":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/07\/computer-vision-finding-the-best-teaching-frame-in-a-video-for-fake-video-fightback-bubblenets003-e1563466881841.jpg",629,420,false],"excerpt-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/07\/computer-vision-finding-the-best-teaching-frame-in-a-video-for-fake-video-fightback-bubblenets003-e1563466862976-200x140.jpg",200,140,true],"themonic-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/07\/computer-vision-finding-the-best-teaching-frame-in-a-video-for-fake-video-fightback-bubblenets003-e1563466862976-60x42.jpg",60,42,true],"ioslider-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/07\/computer-vision-finding-the-best-teaching-frame-in-a-video-for-fake-video-fightback-bubblenets003-e1563466862976-658x300.jpg",658,300,true],"post-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/07\/computer-vision-finding-the-best-teaching-frame-in-a-video-for-fake-video-fightback-bubblenets003-e1563466862976-665x444.jpg",665,444,true],"400x250-crop":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2019\/07\/computer-vision-finding-the-best-teaching-frame-in-a-video-for-fake-video-fightback-bubblenets003-e1563466881841.jpg",374,250,false]},"uagb_author_info":{"display_name":"News Staff","author_link":"https:\/\/michigan.it.umich.edu\/news\/author\/mitnewsadm\/"},"uagb_comment_info":0,"uagb_excerpt":"Contributing to a project that aims to detect \u201cdeepfake\u201d videos, U-M engineers developed software that improves a computer\u2019s ability to track an object through a video clip by 11% on average. The software, called BubbleNets, chooses the best frame for a human to annotate. In addition to helping train algorithms for spotting doctored clips, it&hellip;","_links":{"self":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/14790","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/comments?post=14790"}],"version-history":[{"count":1,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/14790\/revisions"}],"predecessor-version":[{"id":14791,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/14790\/revisions\/14791"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/media\/14792"}],"wp:attachment":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/media?parent=14790"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/categories?post=14790"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/tags?post=14790"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}