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.

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).

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.

The fifth module “Video Streaming & MPEG-DASH” focuses on advanced video streaming techniques and details on MPEG-DASH (Moving Picture Experts Group - Dynamic Adaptive Streaming over HTTP) technology. First, the differences in Push vs. Pull based media streaming is covered along with the operation process of Pull based adaptive media streaming. Second, the types of video frames along with the structure of the fragmented MP4 file and GOP (Group of Pictures) are studied. Third, HTTP (Hypertext Transfer Protocol) versions 1.0~2 and the DASH scheme is explained followed by examples of the YouTube MPEG-DASH progressive downloading process. Fourth, the standardization of ISO/IEC 23009-1 based MPEG-DASH specifications and the operation process of MPEG-DASH MDP (Multimedia Presentation Description) hierarchical data and MPD decoding & playing methods are covered.

The sixth module “CDN Video Streaming Technology” focuses on the necessity and operations of advanced video service CDN (Content Delivery Network) technologies. First, the CDN structure and the operation process of CDN hierarchical content delivery is covered. Second, the CDN market value, market size, service providers, and the role of the Telcos, CDN providers, operators, and market regions are studied. Third, details on CDN cooperative caching and content routing, Query based scheme, Digest based scheme, Directory based scheme, Hashing based scheme, and the Semi-hashing based scheme are covered. Fourth, content aging and updating operations along with CDN popularity prediction and contents update techniques (with operational examples of the LRU (Least Recently Used) and LFU (Least Frequently Used) strategies) are covered in the lectures. In addition, the differences in CDN vs. Mobile CDN technology are discussed.

The seventh module “AR Smartphone Project” focuses on two AR smartphone projects using the IKEA Catalog and Google Translate applications. First the operation features of the IKEA Catalog and Google Translate AR applications are studies in the project. Second the limitations of the operation process of these AR applications are tested to recognize how the brightness levels, shined light angles, shape and size of the area and object, distance, font and texture types, and language translations types can influence the accuracy of the AR operations.