{"id":748960,"date":"2019-12-12T20:10:53","date_gmt":"2019-12-13T04:10:53","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=748960"},"modified":"2021-05-26T20:17:30","modified_gmt":"2021-05-27T03:17:30","slug":"microsoft-rocket-hybrid-edge-cloud-video-analytics-platform","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/microsoft-rocket-hybrid-edge-cloud-video-analytics-platform\/","title":{"rendered":"Microsoft Rocket: Hybrid Edge + Cloud Video Analytics Platform"},"content":{"rendered":"<p>Today, video cameras are being used at a large scale by public and private enterprises for a variety of reasons\u2014from security surveillance and traffic planning to consumer support in retail and hospitality settings. Thanks to gains in computer vision, particularly object detection and classification, video analysis has become more accurate. Fast and affordable real-time analysis, however, is lagging. Project Rocket seeks to make easy, cost-effective video analysis of live camera streams a reality.<\/p>\n<p>Project Rocket, an extensible software stack that leverages the edge and cloud, is designed with maximum functionality in mind, capable of meeting the needs of varying video analytic applications. In this webinar, Microsoft researchers Ganesh Ananthanarayanan and Yuanchao Shu explain how Rocket\u2014now open source on GitHub\u2014uses approximation to run scalable analytics across the edge and cloud and how efficient live video analysis advances the interactive querying of stored video. The researchers will also provide a tutorial on how to get started with the stack and how to construct and execute video analytics pipelines.<\/p>\n<p>Together, you&#8217;ll explore:<\/p>\n<ul>\n<li>Exciting applications of video analytics<\/li>\n<li>Techniques that make continuous video analytics dramatically cheaper<\/li>\n<li>Key components of the Rocket video analytics software stack<\/li>\n<li>Building your own video analytics applications<\/li>\n<\/ul>\n<p><strong>Resource list:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/live-video-analytics\">Microsoft Rocket<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (Project page)<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/github.com\/microsoft\/Microsoft-Rocket-Video-Analytics-Platform\">Microsoft Rocket<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (GitHub)<\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/podcast\/live-video-analytics-and-research-as-test-cricket-with-dr-ganesh-ananthanarayanan\">Live video analytics and research as Test Cricket with Dr. Ganesh Ananthanarayanan<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (Podcast)<\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/cracking-open-the-dnn-black-box-video-analytics-with-dnns-across-the-camera-cloud-boundary\">Cracking open the DNN black-box<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (Publication)<\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/cameras-are-the-new-cluster\">Networked Cameras Are the New Big Data Clusters<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (Publication)<\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/demo-video-analytics-killer-app-for-edge-computing\">Demo: Video Analytics &#8211; Killer App for Edge Computing<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>\u00a0(Publication)<\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/ga\">Ganesh Ananthanarayanan<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (Researcher profile)<\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/yushu\">Yuanchao Shu<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (Researcher profile)<\/li>\n<\/ul>\n<p>*This on-demand webinar features a previously recorded Q&A session and open captioning.<\/p>\n<p>This webinar originally aired on December 12, 2019<\/p>\n<p>Explore more Microsoft Research webinars: <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/aka.ms\/msrwebinars\">https:\/\/aka.ms\/msrwebinars<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Today, video cameras are being used at a large scale by public and private enterprises for a variety of reasons\u2014from security surveillance and traffic planning to consumer support in retail and hospitality settings. Thanks to gains in computer vision, particularly object detection and classification, video analysis has become more accurate. Fast and affordable real-time analysis, [&hellip;]<\/p>\n","protected":false},"featured_media":748963,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13556,13560],"msr-video-type":[],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-748960","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-programming-languages-software-engineering","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/5aw9eOUAE3E","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/748960"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/748960\/revisions"}],"predecessor-version":[{"id":748966,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/748960\/revisions\/748966"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/748963"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=748960"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=748960"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=748960"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=748960"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=748960"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=748960"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}