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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>Mark Hamilton</author_name><author_url>https://www.microsoft.com/en-us/research/people/marhamil/</author_url><title>MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="kq7Fx3ZBJ9"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/conditional-image-retrieval/"&gt;MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/conditional-image-retrieval/embed/#?secret=kq7Fx3ZBJ9" width="600" height="338" title="&#x201C;MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval&#x201D; &#x2014; Microsoft Research" data-secret="kq7Fx3ZBJ9" 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 introduce MosAIc, an interactive web app that allows users to find pairs of semantically related artworks that span different cultures, media, and millennia. To create this application, we introduce Conditional Image Retrieval (CIR) which combines visual similarity search with user supplied filters or &#x201C;conditions&#x201D;. This technique allows one to find pairs of similar images [&hellip;]</description></oembed>
