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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Ting Yao</author_name><author_url>https://www.microsoft.com/en-us/research/people/tiyao/</author_url><title>Video Analysis - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="5jZgvFet4i"&gt;&lt;a href="https://www.microsoft.com/en-us/research/project/video-analytics/"&gt;Video Analysis&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/project/video-analytics/embed/#?secret=5jZgvFet4i" width="600" height="338" title="&#x201C;Video Analysis&#x201D; &#x2014; Microsoft Research" data-secret="5jZgvFet4i" 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>Video has become ubiquitous on the Internet, broadcasting channels, as well as that captured by personal devices. This has encouraged the development of advanced techniques to analyze the semantic video content for a wide variety of applications, such as video representation learning [CVPR 2017], video highlight detection [CVPR 2016], video summarization, object detection, action recognition [&hellip;]</description><thumbnail_url>https://www.microsoft.com/en-us/research/wp-content/uploads/2016/06/seedingsampler_v2-1.png</thumbnail_url></oembed>
