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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>Antonio Criminisi</author_name><author_url>https://www.microsoft.com/en-us/research/people/acriminisi/</author_url><title>Photo clip art - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="ugywJRNiY7"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/photo-clip-art-2/"&gt;Photo clip art&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/photo-clip-art-2/embed/#?secret=ugywJRNiY7" width="600" height="338" title="&#x201C;Photo clip art&#x201D; &#x2014; Microsoft Research" data-secret="ugywJRNiY7" 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>We present a system for inserting new objects into existing photographs by querying a vast image-based object library, pre-computed using a publicly available Internet object database. The central goal is to shield the user from all of the arduous tasks typically involved in image compositing. The user is only asked to do two simple things: [&hellip;]</description></oembed>
