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GTC ON-DEMAND

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Abstract:

We'll introduce DeepStream, NVIDIA's solution for high-performance video analytics. One of the grand challenges of AI is to understand video content. Applications are endless: video surveillance, live video streaming, ad placement, and more. The problem is that deep learning, which has been boosting modern AI, is computationally expensive. It's even more challenging when it comes to live stream video. That's why we're building the NVIDIA DeepStream SDK, which simplifies development of high-performance video analytics applications powered by deep learning. It's built on top of the NVIDIA Video SDK, which can leverage the GPU's hardware encoding and decoding horsepower, and on top of NVIDIA TensorRT, which accelerates deep neural network's inferencing. We have seen successful large-scale deployment of such intelligent video analytics systems, and we see this as an unstoppable trend.

We'll introduce DeepStream, NVIDIA's solution for high-performance video analytics. One of the grand challenges of AI is to understand video content. Applications are endless: video surveillance, live video streaming, ad placement, and more. The problem is that deep learning, which has been boosting modern AI, is computationally expensive. It's even more challenging when it comes to live stream video. That's why we're building the NVIDIA DeepStream SDK, which simplifies development of high-performance video analytics applications powered by deep learning. It's built on top of the NVIDIA Video SDK, which can leverage the GPU's hardware encoding and decoding horsepower, and on top of NVIDIA TensorRT, which accelerates deep neural network's inferencing. We have seen successful large-scale deployment of such intelligent video analytics systems, and we see this as an unstoppable trend.

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Topics:
Developer Tools, Intelligent Video Analytics
Type:
Talk
Event:
GTC Washington D.C.
Year:
2017
Session ID:
DC7198
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