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<oembed><version>1.0</version><provider_name>Cees Snoek</provider_name><provider_url>https://www.ceessnoek.info</provider_url><author_name>Cees</author_name><author_url>https://www.ceessnoek.info/index.php/author/admin/</author_url><title>Crowdsourcing Visual Detectors for Video Search - Cees Snoek</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="hq0xpTEk1n"&gt;&lt;a href="https://www.ceessnoek.info/index.php/crowdsourcing-visual-detectors-for-video-search/"&gt;Crowdsourcing Visual Detectors for Video Search&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.ceessnoek.info/index.php/crowdsourcing-visual-detectors-for-video-search/embed/#?secret=hq0xpTEk1n" width="600" height="338" title="&#x201C;Crowdsourcing Visual Detectors for Video Search&#x201D; &#x2014; Cees Snoek" data-secret="hq0xpTEk1n" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>The paper Crowdsourcing Visual Detectors for Video Search by Bauke Freiburg, Jaap Kamps, and Cees Snoek, which will appear in the forthcoming ACM Multimedia conference is now available. In this paper, we study social tagging at the video fragment-level using a combination of automated content understanding and the wisdom of the crowds. We are interested [&hellip;]</description><thumbnail_url>http://www.science.uva.nl/research/publications/2011/FreiburgICM2011/invideobrowser.png</thumbnail_url></oembed>
