About this course: 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. Learning Goals: After completing this course, you will be able to: 1. Explain the tradeoffs between media quality and bandwidth for content delivery. 2. Extract and display metadata from media files. 3. Implement and demonstrate a simple media player application using DragonBoard™ 410c.

Created by: University of California, San Diego

Taught by: Harinath Garudadri, Associate Research Scientist
Qualcomm Institute of Calit2, UC, San Diego
Taught by: Ganz Chockalingam, Principal Engineer
Qualcomm Institute of Calit2, UC, San Diego

Basic Info	Course 5 of 6 in the Internet of Things Specialization
Commitment	3 weeks of study, 1-2 hours/week
Language	English
How To Pass	Pass all graded assignments to complete the course.
User Ratings	4.3 stars Average User Rating 4.3See what learners said

Syllabus

WEEK 1

Introduction

Welcome to the Internet of Things! Before diving into this course give us a chance to let you know what it is all about! We will walk you through a module by module outline that will give you highlights on the interesting aspects of the course.

1 video, 1 reading

Video: Specialization Trailer
Reading: Course 5 Slides

Terminology/Cheat Sheet (Beginner)

In this course, you will see a lot of new words and acronyms you might not be familiar with. If you feel comfortable with your knowledge of tech terminology, feel free to skip these lessons since they will not affect the overall integrity of the course. If you see something that you want to know a little more about, feel free to watch the video to gain insight on some basic concepts. We do expect you to know the majority of this material before going into the next module, we would recommend going through the lessons as a quick brush up.

16 videos, 1 reading

Video: Introduction to Lesson 1
Video: Acronyms
Video: Terminology
Video: A look back at Lesson 1
Reading: Additional Links
Video: Introduction to Lesson 2
Video: Multimedia Computing and Classification
Video: Multimedia Importance
Video: Driving Forces in Multimedia
Video: Multimedia Applications
Video: Working with Libraries
Video: A look back at Lesson 2
Video: Introduction to Lesson 3
Video: Android Multimedia
Video: C/C++
Video: Python
Video: A look back at Lesson 3

Graded: Module 1 Quiz

WEEK 2

Codecs

In this module our esteemed Professor Harinath Garudadri will talk about coders and decoders (Codecs). This will allow us to make better use of our multimedia choices when working with the DragonBoardTM 410c. We want to look at the motivation behind using Codecs, the different ways to take advantage of redundancies when using codecs and finally the ability to take advantage of different receiver / transmitter combinations. If we are able to understand the way that information is sent and received over the data plane we can create and use the right codecs.

11 videos, 1 reading

Video: Multimedia Technologies
Video: Introduction to Lesson 1
Video: A Generic Model
Video: Audio Processing
Video: Image Processing
Video: Video Processing
Video: Quality Evaluation
Video: Introduction to Lesson 2
Video: Pixel Camera
Video: Fall Risk Assessment
Video: An Objective Balance Test
Reading: Reading Material Links

Graded: Quiz 2

WEEK 3

Computer Vision and our Application

In this module we will talk in depth about computer vision. We will talk about a variety of current applications of computer vision, and brainstorm the future applications you all are capable of making! Ultimately we will set up a computer vision development environment on your Linaro/Debian release capable of creating a wide variety of computer vision projects. By the end of this module we will have built a great basic application in Python, we will add a few features and pass the code on to you! Hopefully this code can serve as a great template for you all to use.

13 videos, 2 readings

Video: Introduction to Lesson 1
Video: What is Computer Vision?
Video: Applications of CV
Video: A look back at Lesson 1
Video: Introduction to Lesson 2
Video: SimpleCV vs OpenCV
Video: Setting up your environment
Video: A look back at Lesson 2
Reading: Setup Commands
Video: Introduction to Lesson 3
Video: Basic Application
Video: Adding Features
Video: Server Setup
Video: A look back at Lesson 3
Reading: Code access

Graded: Module 3 Quiz

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