{"id":1268,"date":"2014-04-03T10:26:06","date_gmt":"2014-04-03T09:26:06","guid":{"rendered":"http:\/\/www.ceessnoek.info\/?p=1268"},"modified":"2014-04-03T10:26:06","modified_gmt":"2014-04-03T09:26:06","slug":"isomer-informative-segment-observations-for-multimedia-event-recounting","status":"publish","type":"post","link":"https:\/\/www.ceessnoek.info\/index.php\/isomer-informative-segment-observations-for-multimedia-event-recounting\/","title":{"rendered":"ISOMER: Informative Segment Observations for Multimedia Event Recounting"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" alt=\"ISOMER\" src=\"http:\/\/www.ceessnoek.info\/wp-content\/uploads\/2014\/04\/ISOMER-e1396517071725.png\" width=\"450\" height=\"212\" align=\"right\" \/><\/p>\n<p>The ICMR2014 paper\u00a0<em>ISOMER: Informative Segment Observations for Multimedia Event Recounting<\/em> by <a href=\"http:\/\/www-scf.usc.edu\/~chensun\/\">Chen Sun<\/a>,\u00a0Brian Burns, Ram Nevatia, Cees G. M. Snoek, Bob Bolles, Greg Myers, Wen Wang and Eric Yeh is <a href=\"http:\/\/isis-data.science.uva.nl\/cgmsnoek\/pub\/sun-informative-segment-icmr14.pdf\">now available<\/a>.\u00a0This paper describes a system for multimedia event detection and recounting. The goal is to detect a high level event class in unconstrained web videos and generate event oriented summarization for display to users. For this purpose, we detect informative segments and collect observations for them, leading to our ISOMER system. We combine a large collection of both low level and semantic level visual and audio features for event detection. For event recounting, we propose a novel approach to identify event oriented discriminative video segments and their descriptions with a linear SVM event classifier. User friendly concepts including objects, actions, scenes, speech and optical character recognition are used in generating descriptions. We also develop several mapping and filtering strategies to cope with noisy concept detectors. Our system performed competitively in the TRECVID 2013 Multimedia Event Detection task with near 100,000 videos and was the highest performer in TRECVID 2013 Multimedia Event Recounting task.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The ICMR2014 paper\u00a0ISOMER: Informative Segment Observations for Multimedia Event Recounting by Chen Sun,\u00a0Brian Burns, Ram Nevatia, Cees G. M. Snoek, Bob Bolles, Greg Myers, Wen Wang and Eric Yeh is now available.\u00a0This paper describes a system for multimedia event detection and recounting. The goal is to detect a high level event class in unconstrained web [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-1268","post","type-post","status-publish","format-standard","hentry","category-science"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>ISOMER: Informative Segment Observations for Multimedia Event Recounting - Cees Snoek<\/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:\/\/www.ceessnoek.info\/index.php\/isomer-informative-segment-observations-for-multimedia-event-recounting\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ISOMER: Informative Segment Observations for Multimedia Event Recounting - Cees Snoek\" \/>\n<meta property=\"og:description\" content=\"The ICMR2014 paper\u00a0ISOMER: Informative Segment Observations for Multimedia Event Recounting by Chen Sun,\u00a0Brian Burns, Ram Nevatia, Cees G. M. Snoek, Bob Bolles, Greg Myers, Wen Wang and Eric Yeh is now available.\u00a0This paper describes a system for multimedia event detection and recounting. 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