Welcome to the course “Augmented Reality & Video Service Emerging Technologies.” The level of AR (Augmented Reality) and advanced video & multimedia technology included in a product is what determines the level of value and luxury. The objective of this course is to teach all important technologies that are used in state-of-the-art AR, Skype, and YouTube video and multimedia products and services. This includes the advanced video and real-time multimedia delivery mechanisms based on H.264/MPEG-4 AVC, MPEG-DASH, CDN, and mobile CDN. If you have knowledge of these core technologies, you can understand the operations that are used in every advanced video and multimedia system in the World. As the future World of business and products are driven to be more and more video and multimedia oriented, having knowledge of these core technologies will enable you to lead your company to become the true World leader in AR and video multimedia technology products, services, and business. Thus, I cordially welcome you into the beautiful and powerful World of advanced AR and video multimedia!
Ce cours fait partie de la Spécialisation Technologies émergentes : des smartphones à l'Internet des objets et aux Big Data
AR (Augmented Reality) & Video Streaming Services Emerging Technologies
proposé par
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
11 heure pour terminer
AR Applications, Products & Business
The first module “AR Applications, Products & Business” focuses on the variety of AR (Augmented Reality) applications, technologies, products, and businesses. The lecture starts with the definitions and characteristics of AR and explains the differences of AR and VR (Virtual Reality). Then the advantages of various AR UI (User Interface) types, which include handheld AR displays (e.g., smartphones), AR eyeglasses, and HMDs (Head-Mounted Displays) are covered. In addition, AR business models and an analysis of the AR market, which includes the AR/VR headset market share, Worldwide AR/VR headset forecast, AR/VR market size by segment, and AR/VR market size forecasts are described.
6 vidéos (Total 51 min), 2 quiz
6 vidéos
Introduction6 min
1.1 AR Introduction12 min
1.2 AR vs. VR7 min
1.3 AR Applications & Business Models Part 18 min
1.3 AR Applications & Business Models Part 28 min
1.4 AR Market Analysis7 min
2 exercices pour s'entraîner
Ungraded Quiz6 min
Graded Quiz10 min
Semaine
21 heure pour terminer
AR Technology
The second module “AR Technology” focuses on AR (Augmented Reality) technologies, operation workflow, and Cloud support technologies. First, the features of AR technological components, and the role of AR feature detection/description technology and the IPD (Interest Point Detection) process is introduced. Second the advantages of AR cloud cooperative computation and AR cloud offloading is covered. In addition, the types of AR feature extraction descriptor types, feature detector requirements, and influencing factors are covered.
5 vidéos (Total 48 min), 2 quiz
5 vidéos
2.2 AR Feature Detection & Description Technology13 min
2.3 AR System Process Part 16 min
2.3 AR System Process Part 210 min
2.4 AR Feature Extraction10 min
2 exercices pour s'entraîner
Ungraded Quiz12 min
Graded Quiz20 min
Semaine
31 heure pour terminer
SIFT SURF FAST BRIEF ORB BRISK
The third module “SIFT SURF FAST BRIEF ORB BRISK” focuses on all of the core feature extraction technologies used in AR (Augmented Reality), which include SIFT, SURF, FAST, BRIEF, ORB, and BRISK. As feature extraction is the most important (and computation burdening and time consuming) procedure of the AR process, the variety of technologies applied in state-of-the-art AR devices are studied in detail in this module. The lectures cover the characteristics of the AR IPD (Interest Point Detection), feature detection, and description schemes, which include SIFT (Scale Invariant Feature Transform), SURF (Speed-Up Robust Feature), FAST (Features from Accelerated Segment Test), BRIEF (Binary Robust Independent Elementary Features), ORB (Oriented FAST and Rotated BRIEF), and BRISK (Binary Robust Invariant Scalable Keypoints).
7 vidéos (Total 38 min), 2 quiz
7 vidéos
3.2 SIFT9 min
3.3 SURF3 min
3.4 FAST2 min
3.5 BRIEF3 min
3.6 ORB5 min
3.7 BRISK3 min
2 exercices pour s'entraîner
Ungraded Quiz12 min
Graded Quiz20 min
Semaine
41 heure pour terminer
Skype, YouTube & H.264/MPEG-4 AVC
The fourth module “Skype, YouTube & H.264/MPEG-4 AVC” focuses on the two most famous video service types that exist in the World. Skype is the most widely used video conferencing and VoIP (Voice over IP) application service in the World, which is now included in various Microsoft products, making video and voice communications possible from practically anywhere an Internet connection is available. YouTube is the World’s most widely used video service application service. The lectures cover the history of Skype and YouTube and also the evolution of their video and audio codec technologies. In addition, the lecture covers the details of the state-of-the-art H.264/MPEG-4 AVC video media technology that is currently used by Skype and YouTube.
4 vidéos (Total 28 min), 2 quiz
2 exercices pour s'entraîner
Ungraded Quiz12 min
Graded Quiz20 min
Enseignant
Jong-Moon Chung
Professor, School of Electrical & Electronic EngineeringDirector, Communications & Networking Laboratory
À propos de Université Yonsei
Yonsei University was established in 1885 and is the oldest private university in Korea.
Yonsei’s main campus is situated minutes away from the economic, political, and cultural centers of Seoul’s metropolitan downtown. Yonsei has 3,500 eminent faculty members who are conducting cutting-edge research across all academic disciplines. There are 18 graduate schools, 22 colleges and 133 subsidiary institutions hosting a selective pool of students from around the world.
Yonsei is proud of its history and reputation as a leading institution of higher education and research in Asia.
À propos de la Spécialisation Technologies émergentes : des smartphones à l'Internet des objets et aux Big Data
This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management.
Foire Aux Questions
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