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Program Overview

More visual content is being delivered via cloud computing every day including live streaming video and new immersive experiences like virtual reality. These new user experiences require new architectures and technologies as well as ubiquitous broadband connectivity between connected devices, the network edge and cloud data centers.

In this course Lynn Comp, Vice President, Data Center Group and General Manager of the Visual Cloud Division at Intel Corporation, provides an overview of the visual cloud market, industry trends and design principles. This course provides an introduction to the four core building blocks of visual cloud and the five key services. Lynn also explains how Intel helps meet the growing demands for visual cloud workloads by enabling hardware and software solutions for video delivery, cloud graphics, and media analytics. 

This course provides an introduction into the features and architecture of Scalable Video Technology (SVT), SVT encoders, high efficiency video coding (HEVC) and using a Human Visual System (HVS) optimized classifier. This course will also discuss the real-time performance on Intel® Xeon® based processors.

In this course, Nehal Mehta, Visual Cloud Segment Manager at Intel, introduces the Intel® Select Solution for Visual Cloud Delivery Networks and how it has been specifically designed to meet the needs of Content Delivery Networks (CDNs) of today and tomorrow. He explores some of the emerging opportunities and challenges with CDNs and the edge of the network and why CDNs need to transform. He then goes into greater detail on the benefits gained from Intel Select Solutions for Visual Cloud Delivery Network.

In this course, Katrina Feliciano-Stoddard, Intel Product Line Leader for Visualization Solutions, discusses the difference between graphics, visualization and rendering. She then goes into greater detail regarding raster and vector graphics before providing an overview of data and 3D visualization. Katrina explains the different markets where rendering is used today and expands on the quality and performance tradeoffs of offline, interactive and real-time rendering.

In this course, Katrina Feliciano-Stoddard, Intel Product Line Leader for Visualization Solutions, provides an overview of rasterization and ray tracing including the advantages and challenges of each method for visualization. Katrina examines the trends in visualization and then introduces the open source libraries that make up the Intel® Rendering Framework.

Craig Hurst, Director of Software Strategy and Product Management in the Visual Cloud Division at Intel, provides an overview of the Open Visual Cloud as an open source project that offers a set of pre-defined reference pipelines for various target visual cloud use cases. He discusses the visual cloud design considerations from a communications service provider perspective and how Open Visual Cloud benefits the ecosystem. He later explains the Open Visual Cloud reference pipelines and how Intel is investing in technology to establish a common, scalable reference architecture for Visual Cloud.

This course provides and introduction to the exciting world of immersive media within Visual Cloud. It covers the immersive media market and four key use cases including 360 video, volumetric streaming, augmented reality (AR) and immersive gaming.

In this course, Surbhi Madan, Solution Architect at Intel, looks at Intel’s role in the Open Visual Cloud, an open source project building on industry standards based frameworks and optimized, interoperable software ingredients to release reference pipelines for key target use cases. She discusses the availability of Open Visual Cloud open source software on the github.com repository and conducts demonstrations building FFmpeg in the cloud repository and encoding using Scalable Video Technology for HEVC and AV1. Surbhi then looks closer at Open Visual Cloud reference pipelines, how this applies to media analytics, the ingredients of this Open Visual Cloud pipeline and how this can be run through an FFmpeg or GStreamer framework.

In this course, Martin Hendess, Product Marketing Manager at Intel, introduces the visual cloud service of cloud gaming. He discusses the challenges facing the video game industry today and how cloud gaming has the potential to disrupt that market with the solutions it can provide. Martin explains the differences between frame and command streaming and then highlights the features and advantages gained from the Intel® Core™ i7 processor with Radeon™ RX Vega M Graphics.

In this course, Kevin Cone, Senior Product Line Manager at Intel, presents an overview of the visual cloud service of media analytics and summarizes deep learning and convolutional neural networks. Kevin explains the five steps to creating a media analytics application and touches on the Intel® Deep Learning Deployment Toolkit and the hardware needed to create a media analytics application. He introduces the Open Visual Cloud project and provides additional detail on the Customized Ad-Insertion pipeline before providing examples of media analytics smart city use cases.

In this course, Priyanka Bagade, a Developer Evangelist at Intel, provides an overview and explores the features of the Intel® Distribution of OpenVINO™ Toolkit. She discusses the new programming model to deploy applications on a range of Intel silicon and later details optimization techniques for deep learning inference and pre-trained models included in the toolkit.

In this course Kevin Cone, Media Analytics Segment Manager at Intel, provides an overview of the Intel Select Solution for Media Analytics and the benefits gained by deploying on such a platform. In addition to walking through the acceleration technologies this course reviews some of the media analytics reference pipelines which are available today.