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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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

Video: Turner’s Cloud Archive for CNN’s Video Library and Global Multiplatform Versioning


From AWS re:Invent 2017, Michael Koetter from Turner and Bhavik Vyas from AWS explain that Turner is creating a copy of CNN’s 37-year news video library in AWS to take advantage of the cost and architectural benefits of cloud storage.
This project has unique requirements around retrieval times, and Turner partnered with AWS to drive specific capabilities such as those Amazon Glacier expedited and bulk retrieval options. These cloud-based archives can enable Turner to use other cloud-based value-add services, such as AI/ML/search, and media supply chains efficiently. Turner’s global content exploitation strategies call for extensive versioning of content assets required for distribution to different platforms, products, and regions.
Today, this involves complex workflows to derive multiple downstream versions. Adopting the SMPTE Interoperable Mastering Format (IMF) and cloud-based object storage, Turner will dramatically simplify these workflows by enabling cloud-based automation and elastic scalability. Hear Turner’s strategy, implementation around these media workloads, and lessons learned.

Speakers:
Michael Koetter, SVP, Digital Media Systems, Turner
Bhavik Byas, Global Ecosystem Leader, M&E, AWS

Watch now!