{"id":1046,"date":"2013-04-17T19:35:57","date_gmt":"2013-04-17T18:35:57","guid":{"rendered":"http:\/\/www.ceessnoek.info\/?p=1046"},"modified":"2013-04-17T19:35:57","modified_gmt":"2013-04-17T18:35:57","slug":"recommendations-for-video-event-recognition-using-concept-vocabularies","status":"publish","type":"post","link":"https:\/\/www.ceessnoek.info\/index.php\/recommendations-for-video-event-recognition-using-concept-vocabularies\/","title":{"rendered":"Recommendations for Video Event Recognition Using Concept Vocabularies"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" alt=\"better-or-more-noisy-concepts\" src=\"http:\/\/www.ceessnoek.info\/wp-content\/uploads\/2013\/04\/better-or-more-noisy-concepts-300x219.png\" width=\"300\" height=\"219\" align=\"right\" \/><\/p>\n<p>The ICMR2013 paper \u2018Recommendations for Video Event Recognition Using Concept Vocabularies\u2019 by Amirhossein Habibian, Koen van de Sande and Cees Snoek is <a href=\"http:\/\/staff.science.uva.nl\/~cgmsnoek\/pub\/habibian-vocabulary-recommendations-events-icmr2013.pdf\" target=\"_blank\">now available<\/a>. Representing videos using vocabularies composed of concept detectors appears promising for event recognition. While many have recently shown the benefits of concept vocabularies for recognition, the important question what concepts to include in the vocabulary is ignored. In this paper, we study how to create an effective vocabulary for arbitrary event recognition in web video. We consider four research questions related to the number, the type, the specificity and the quality of the detectors in concept vocabularies. A rigorous experimental protocol using a pool of 1,346 concept detectors trained on publicly available annotations, a dataset containing 13,274 web videos from the Multimedia Event Detection benchmark, 25 event groundtruth definitions, and a state-of-the-art event recognition pipeline allow us to analyze the performance of various concept vocabulary definitions. From the analysis we arrive at the recommendation that for effective event recognition the concept vocabulary should i) contain more than 200 concepts, ii) be diverse by covering object, action, scene, people, animal and attribute concepts, iii) include both general and specific concepts, and iv) increase the number of concepts rather than improve the quality of the individual detectors. We consider the recommendations for video event recognition using concept vocabularies the most important contribution of the paper, as they provide guidelines for future work.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The ICMR2013 paper \u2018Recommendations for Video Event Recognition Using Concept Vocabularies\u2019 by Amirhossein Habibian, Koen van de Sande and Cees Snoek is now available. Representing videos using vocabularies composed of concept detectors appears promising for event recognition. While many have recently shown the benefits of concept vocabularies for recognition, the important question what concepts to [&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-1046","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>Recommendations for Video Event Recognition Using Concept Vocabularies - 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\/recommendations-for-video-event-recognition-using-concept-vocabularies\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Recommendations for Video Event Recognition Using Concept Vocabularies - Cees Snoek\" \/>\n<meta property=\"og:description\" content=\"The ICMR2013 paper \u2018Recommendations for Video Event Recognition Using Concept Vocabularies\u2019 by Amirhossein Habibian, Koen van de Sande and Cees Snoek is now available. Representing videos using vocabularies composed of concept detectors appears promising for event recognition. While many have recently shown the benefits of concept vocabularies for recognition, the important question what concepts to [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.ceessnoek.info\/index.php\/recommendations-for-video-event-recognition-using-concept-vocabularies\/\" \/>\n<meta property=\"og:site_name\" content=\"Cees Snoek\" \/>\n<meta property=\"article:published_time\" content=\"2013-04-17T18:35:57+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/www.ceessnoek.info\/wp-content\/uploads\/2013\/04\/better-or-more-noisy-concepts-300x219.png\" \/>\n<meta name=\"author\" content=\"Cees\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Cees\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.ceessnoek.info\/index.php\/recommendations-for-video-event-recognition-using-concept-vocabularies\/\",\"url\":\"https:\/\/www.ceessnoek.info\/index.php\/recommendations-for-video-event-recognition-using-concept-vocabularies\/\",\"name\":\"Recommendations for Video Event Recognition Using Concept Vocabularies - 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