Über diesen Kurs
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Englisch

Untertitel: Englisch

100 % online

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Stufe „Anfänger“

Ca. 5 Stunden zum Abschließen

Empfohlen: 5 hours/week...

Englisch

Untertitel: Englisch

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1
1 Stunde zum Abschließen

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 (Gesamt 51 min), 2 Quiz
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 praktische Übungen
Ungraded Quiz6m
Graded Quiz10m
Woche
2
1 Stunde zum Abschließen

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 (Gesamt 48 min), 2 Quiz
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 praktische Übungen
Ungraded Quiz12m
Graded Quiz20m
Woche
3
1 Stunde zum Abschließen

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).

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7 Videos (Gesamt 38 min), 2 Quiz
7 Videos
3.2 SIFT9m
3.3 SURF3m
3.4 FAST2m
3.5 BRIEF3m
3.6 ORB5m
3.7 BRISK3m
2 praktische Übungen
Ungraded Quiz12m
Graded Quiz20m
Woche
4
1 Stunde zum Abschließen

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.

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4 Videos (Gesamt 28 min), 2 Quiz
4 Videos
4.2 Skype Codecs5m
4.3 YouTube7m
4.4 H.264/MPEG-4 AVC8m
2 praktische Übungen
Ungraded Quiz12m
Graded Quiz20m

Dozent

Avatar

Jong-Moon Chung

Professor, School of Electrical & Electronic Engineering
Director, Communications & Networking Laboratory

Über Yonsei University

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....

Über die Spezialisierung 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....
Emerging Technologies: From Smartphones to IoT to Big Data

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