Computer Vision / Video Analytics

Webinar: Machine Learning and Computer Vision are Redefining Visual Search

Jan 06, 2016
By Brad Nemire
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AI-Generated Summary
  • The volume of visual content is growing rapidly, with surveillance cameras projected to generate 859 petabytes of footage and over two billion images and videos uploaded daily to social platforms.
  • Significant gaps remain between storing large amounts of visual data and achieving intelligent, actionable understanding of that media.
  • GPUs are accelerating machine learning to improve visual search capabilities for this computationally intense domain.

Next Step

  • Register for the free webinar with NVIDIA and NerVve on January 19, 2016 to see how GPUs accelerate machine learning for visual search.
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Every second, millions of videos are generated and consumed every second. From the projected 859 petabytes of footage from surveillance cameras to the over two billion images and videos uploaded daily to social platforms, visual content is exploding. However, huge gaps exist between simply storing lots of data and the intelligent, insightful, and actionable understanding of this visual media.
Join NVIDIA and NerVve for a free webinar on Tuesday, January 19, 2016 from 10:00 AM to 11:00 AM PST to see how GPUs are accelerating machine learning to improve visual search.

Visual Search Image Banner

Learn how this deluge of content is driving the evolution of video search technology, the role that GPUs play in this computationally-intense arena, and use cases for how this technology is applied today.
Register Now >>

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Computer Vision / Video Analytics | Public Sector | Announcement | News | Events | Machine Learning & Artificial Intelligence | Video Processing | Webinar

About the Authors

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About Brad Nemire
Brad Nemire leads the Developer Communications team at NVIDIA. Prior to NVIDIA, he worked at Arm on the Developer Relations team. Brad graduated from San Diego State University and currently resides in Silicon Valley.

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