Internet of Things: Multimedia Technologies
4.3 /5- Offered byCoursera
Internet of Things: Multimedia Technologies at Coursera Overview
Duration | 4 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Internet of Things: Multimedia Technologies at Coursera Highlights
- Earn a Shareable Course Certificate on successful completion
- Practice Quizzes, Course Videos & Readings
- Learn anytime & anywhere- Start at your own pace
- Offered By University of California San Diego
Internet of Things: Multimedia Technologies at Coursera Course details
- Learn to explain the tradeoffs between media quality and bandwidth for content delivery.
- Learn to extract and display metadata from media files.
- Learn to Implement and demonstrate a simple media player application using DragonBoard 410c.
- Content is an eminent example of the features that contributed to the success of wireless Internet. Mobile platforms such as the Snapdragon? processor have special hardware and software capabilities to make acquisition, processing and rendering of multimedia content efficient and cost-effective.
- In this course, you will learn the principles of video and audio codecs used for media content in iTunes, Google Play, YouTube, Netflix, etc. You will learn the file formats and codec settings for optimizing quality and media bandwidth and apply them in developing a basic media player application.
Internet of Things: Multimedia Technologies at Coursera Curriculum
Introduction
Specialization Trailer
Terminology/Cheat Sheet (Beginner)
Introduction to Lesson
Acronyms
Terminology
A look back at Lesson 1
Introduction to Lesson 2
Multimedia Computing and Classification
Multimedia Importance
Driving Forces in Multimedia
Multimedia Applications
Working with Libraries
A look back at Lesson 2
Introduction to Lesson 3
Android Multimedia
C/C++
Python
A look back at Lesson 3
Codecs
Multimedia Technologies
Introduction to Lesson
A Generic Model
Audio Processing
Image Processing
Video Processing
Quality Evaluation
Introduction to Lesson
Pixel Camera
Fall Risk Assessment
An Objective Balance Test
Computer Vision and our Application
Introduction to Lesson 1
What is Computer Vision?
Applications of CV
A look back at Lesson 1
Introduction to Lesson 2
SimpleCV vs OpenCV
Setting up your environment
A look back at Lesson 2
Introduction to Lesson 3
Basic Application
Adding Features
Server Setup
A look back at Lesson 3
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Internet of Things: Multimedia Technologies