An NVIDIA video by Nervve shows how machine-learning is redefining visual search. The video can be viewed by clicking here.
Image courtesy NVIDIA
According to the meeting description:
From the exabytes of user generated visual content created daily on web services to the projected 859 Petabytes created every day by surveillance cameras in 2017 – Visual content is all around us. However, huge gaps exist between intelligence, insight, and actionable use of this visual media.
Learn how this influx of content has driven the evolution of video search technology, the role that GPUs play, and use cases for how this technology is applied today.
1) Learn how the growth of today’s visual content requires new ways to search and curate visually
2) Learn how visual search platforms work and the use cases for visual search technology
3) Learn more about how GPUs accelerate visual search
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