{"id":35795,"date":"2025-05-22T12:31:43","date_gmt":"2025-05-22T04:31:43","guid":{"rendered":"https:\/\/www.1ai.net\/?p=35795"},"modified":"2025-05-22T12:31:43","modified_gmt":"2025-05-22T04:31:43","slug":"%e8%8b%b1%e4%bc%9f%e8%be%be%e6%8e%a8%e5%87%ba%e8%a7%86%e9%a2%91%e6%90%9c%e7%b4%a2%e5%92%8c%e6%80%bb%e7%bb%93%e5%b7%a5%e5%85%b7-ai-blueprint%ef%bc%8c%e6%af%94%e7%94%a8%e6%88%b7%e5%ae%9e%e6%97%b6","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/35795.html","title":{"rendered":"NVIDIA Launches AI Blueprint, a Video Search and Summarization Tool That's 100x Faster Than Users Watching in Real Time"},"content":{"rendered":"<p>May 22nd.<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%8b%b1%e4%bc%9f%e8%be%be\" title=\"Look at the article with the label\" target=\"_blank\" >Nvidia<\/a>Built for Video Search and Summarization (VSS)\u00a0<strong><a href=\"https:\/\/www.1ai.net\/en\/tag\/ai-blueprint\" title=\"[See articles with [AI Blueprint] label]\" target=\"_blank\" >AI Blueprint<\/a><\/strong>The blueprint was developed by\u00a0<a href=\"https:\/\/www.1ai.net\/en\/tag\/nvidia\" title=\"_OTHER ORGANISER\" target=\"_blank\" >NVIDIA<\/a> Powered by the Metropolis platform, now fully available, Metropolis provides developers with the tools to build and deploy AI intelligences for analyzing large volumes of live and archived video.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-35796\" title=\"edf6ac44j00swnb74006nd000u000gwp\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/05\/edf6ac44j00swnb74006nd000u000gwp.jpg\" alt=\"edf6ac44j00swnb74006nd000u000gwp\" width=\"1080\" height=\"608\" \/><\/p>\n<p>A range of visual AI intelligences and productivity assistants powered by Visual Language Models (VLMs) are coming online. Combining computer vision modeling with the superintelligent Large Language Model (LLM), the<strong>These video analytics AI intelligences help organizations view, search and summarize massive amounts of video<\/strong>. By analyzing video in real-time or processing terabytes of recorded video, video analytics AI intelligence is unlocking unprecedented value and opportunity across a wide range of industries.<\/p>\n<p>1AI attaches the example below, which uses a question and answer format to help readers analyze ballgames, installations, and even find a specific word mentioned at a certain time in the video.<\/p>\n<p>The VSS Blueprint integrates with the NVIDIA AI Enterprise software platform, including NVIDIA NIM microservices for VLM, LLM, and an advanced AI framework for RAG. With VSS Blueprint.<strong>Users summarize videos 100x faster than live viewing<\/strong>. For example, a 60-minute video can be summarized in text in less than 1 minute.<\/p>\n<p>It can process hundreds of live video streams or multiple sets of video clips simultaneously. In addition to visual understanding, it also supports audio transcription. Converting speech to text enhances understanding in scenarios where audio is critical, such as training videos, keynotes, or team meetings.<\/p>","protected":false},"excerpt":{"rendered":"<p>May 22 - NVIDIA has created the AI Blueprint for Video Search and Summarization (VSS), powered by the NVIDIA Metropolis platform, which is now fully available to provide developers with the tools to build and deploy AI intelligences for analyzing large volumes of live and archived video. A range of visual AI intelligences and productivity assistants powered by Visual Language Models (VLMs) will be available soon. Combining computer vision models with super-intelligent Large Language Models (LLMs), these video analytics AI intelligences help organizations view, search, and summarize massive amounts of video. By analyzing video in real-time or processing terabytes of recorded video, video analytics AI Intelligentsia are helping organizations in a wide range of industries to<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[6709,189,239],"collection":[],"class_list":["post-35795","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai-blueprint","tag-nvidia","tag-239"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/35795","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=35795"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/35795\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=35795"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=35795"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=35795"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=35795"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}