<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/09749dba2424421babaef1bc1897e91f&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/09749dba2424421babaef1bc1897e91f-a0557ad3cc13b6a9.gif</thumbnail_url><duration>1011.885</duration><title>Image Search</title><description>This Loom guides viewers through using image search in PatSnap Analytics for design patents and utility models. It explains how to upload up to four images in JPEG or PNG to represent a 360 perspective, and optionally narrow results using keyword refinements in fields like title, abstract, and claims or across the entire document, with an example using hair and variations of dry. It recommends turning on machine translations to broaden search coverage. In the results page, it highlights two retrieval approaches, Smart Recommendation for relevance and Image Search to find different matches, then describes key filters and view options like thumbnails versus full images, including hover actions to run further searches and refine filters such as assignee, authority, and simple legal status.</description></oembed>