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!
Este curso forma parte de Programa Especializado - Emerging Technologies: From Smartphones to IoT to Big Data
AR (Augmented Reality) & Video Streaming Services Emerging Technologies
ofrecido por
Programa - Qué aprenderás en este curso
Semana
11 hora para completar
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 videos (Total 51 minutos), 2 quizzes
6 videos
1.1 AR Introduction12m
1.2 AR vs. VR7m
1.3 AR Applications & Business Models Part 18m
1.3 AR Applications & Business Models Part 28m
1.4 AR Market Analysis7m
2 ejercicios de práctica
Ungraded Quiz6m
Graded Quiz10m
Semana
21 hora para completar
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 videos (Total 48 minutos), 2 quizzes
5 videos
2.2 AR Feature Detection & Description Technology13m
2.3 AR System Process Part 16m
2.3 AR System Process Part 210m
2.4 AR Feature Extraction10m
2 ejercicios de práctica
Ungraded Quiz12m
Graded Quiz20m
Semana
31 hora para completar
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 videos (Total 38 minutos), 2 quizzes
7 videos
3.2 SIFT9m
3.3 SURF3m
3.4 FAST2m
3.5 BRIEF3m
3.6 ORB5m
3.7 BRISK3m
2 ejercicios de práctica
Ungraded Quiz12m
Graded Quiz20m
Semana
41 hora para completar
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 videos (Total 28 minutos), 2 quizzes
2 ejercicios de práctica
Ungraded Quiz12m
Graded Quiz20m
Instructor
Jong-Moon Chung
Professor, School of Electrical & Electronic EngineeringDirector, Communications & Networking Laboratory
Acerca de Universidad 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.
Acerca del programa especializado Emerging Technologies: From Smartphones to IoT to 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.
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