Video: Hardware Transcoding Solutions For The Cloud

Hardware encoding is more pervasive with Intel’s Quick Sync embedding CUDA GPUs inside GPUs plus NVIDIA GPUs have MPEG NVENC encoding support so how does it compare with software encoding? For HEVC, can Xilinx’s FPGA solution be a boost in terms of quality or cost compared to software encoding?

Jan Ozer has stepped up to the plate to put this all to the test analysing how many real-time encodes are possible on various cloud computing instances, the cost implications and the quality of the output. Jan’s analytical and systematic approach brings us data rather than anecdotes giving confidence in the outcomes and the ability to test it for yourself.

Over and above these elements, Jan also looks at the bit rate stability of the encodes which can be important for systems which are sensitive to variations such services running at scale. We see that the hardware AVC solutions perform better than x264.

Jan takes us through the way he set up these tests whilst sharing the relevant ffmpeg commands. Finally he shares BD plots and example images which exemplify the differences between the codecs.

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Speaker

Jan Ozer Jan Ozer
Principal, Streaming Learning Center
Contributing Editor, Streaming Media

On-Demand Webinar: AI for Media and Entertainment

In this webinar, visual effects and digital production company Digital Domain will share their experience developing AI-based toolsets for applying deep learning to their content creation pipeline. AI is no longer just a research project but also a valuable technology that can accelerate labor-intensive tasks, giving time and control back to artists.

The webinar starts with a brief overview of deep learning and dive into examples of convolutional neural networks (CNNs), generative adversarial networks (GANS), and autoencoders. These examples will include flavors of neural networks useful for everything from face swapping and image denoising to character locomotion, facial animation, and texture creation.

By attending this webinar, you will:

  • Get a basic understanding of how deep learning works
  • Learn about research that can be applied to content creation
  • See examples of deep learning–based tools that improve artist efficiency
  • Hear about Digital Domain’s experience developing AI-based toolsets

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Add Presenter 1's Head Shot Image URL (ex: http://info.nvidianews.com/rs/156-OFN-742/images/dan_m.jpg)
DOUG ROBLEM
Senior Director of Software R&D, Digital Domain
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RICK CHAMPAGNE
Global Media and Entertainment Strategy and Marketing, NVIDIA
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RICK GRANDY
Senior Solutions Architect, Professional Visualization, NVIDIA
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GARY BURNETT
Solutions Architect, Professional Visualization, NVIDIA