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Improve the video multimedia services you work on or develop using tools from video service technologies such as Netflix, Disney , YouTube, and Skype. This book introduces you to the core technologies that enable Metaverse XR (eXtended Reality) services and advanced video multimedia streaming services.
First, you’ll find out about the current and future trends in Metaverse and video streaming services. XR is a combination of technologies that include MR, AR, VR, voice recognition systems, haptic and 3D-motion UIs, as well as head mounted displays) like Microsoft Hololens 2 and Oculus Quest 2. You'll review metaverse services XR applications and learn more about the core XR feature extraction technologies.
With XR capabilities mastered, you can move into the main technologies for video streaming services like Netflix, Disney , and YouTube. You’ll also about video formats, such as H.264, MPEG-4 AVC, H.265, MPEG-5, and MPEG-DASH. As well as online hosting services like content delivery network (CDN), mobile CDN, and Amazon Web Services (AWS). Additional details on content aging and updating operations along with CDN popularity predictions and contents update techniques, such as, Least Recently Used (LRU) and east Frequently Used (LFU) strategies are introduced.
All these technologies enable fast, efficient, reliable, and adaptable video streaming services. They also allow for video conferencing services like Zoom, Skype and WebEx. By the time you’ve finished reading, you’ll understand how these technologies converge into the Metaverse and and offer a wide variety of development opportunities for video streaming.
Metaverse and XR systems use a lot of Artificial Intelligence (AI) technology in every aspect of the systems and services. For example, AI, Machine Learning (ML), and deep learning (DL) are used for computer vision, feature extraction and tracking, avatar and robotic control, user eye and motion tracking, speech recognition, natural language processing, sensor signal tracking, computational creativity, and future predictions. Multimedia systems also use AI technology everywhere, which include user recommendation systems, enterprise resource planning (ERP) and management, server streaming speed control, video and audio adaptive quality control, illegal image or information automatic detection, automated privacy protection, as well as automated network and cloud security monitoring and cyberattack defense control. DL enables extreme levels of precision and reliable automated control and is self-learning and adaptable to changes, which is why metaverse XR and multimedia services use DL abundantly.
What You'll Learn
Incorporate core AI techniques and extraction XR algorithms
Enable fast, efficient, and reliable video streaming in your product, service, or app
Update content with CDN popularity predictions
Explore the Netflix Open Connect CDN model and characteristics
Understand the operations of modern video and multimedia systems
Become a leader in metaverse and video multimedia services and products.
Who This Book Is For
Developers, product managers, hobbyists, and students interested in learning how Metaverse XR and video streaming work and can be developed