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 |
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
- 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: 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: 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: 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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University of California San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
Pricing
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| Access to course materials | Available |
| Access to graded materials | Available |
| Receive a final grade | Available |
| Earn a shareable Course Certificate | Available |
Ratings and Reviews
Cours très utile . je vous recommande plus de pratique . merci !
Amazing and Easy Course
So much I have learned in this course and so thankful to UCSD and Coursera.
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excellent, I like the digital image processing, and the use of different free software tools for it.