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.
This course is part of the Internet of Things Specialization
Internet of Things: Multimedia Technologies
Offered By
12,779 enrolled
Syllabus - What you will learn from this course
Week
114 minutes to complete
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 (Total 4 min), 1 reading
1 video
1 reading
Course 5 Slides10m
1 hour to complete
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 (Total 51 min), 1 reading, 1 quiz
16 videos
Acronyms2m
Terminology3m
A look back at Lesson 150s
Introduction to Lesson 21m
Multimedia Computing and Classification8m
Multimedia Importance4m
Driving Forces in Multimedia5m
Multimedia Applications7m
Working with Libraries2m
A look back at Lesson 22m
Introduction to Lesson 31m
Android Multimedia2m
C/C++2m
Python2m
A look back at Lesson 31m
1 reading
Additional Links10m
1 practice exercise
Module 1 Quiz6m
Week
21 hour to complete
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 (Total 59 min), 1 reading, 1 quiz
11 videos
Introduction to Lesson 157s
A Generic Model12m
Audio Processing7m
Image Processing6m
Video Processing6m
Quality Evaluation6m
Introduction to Lesson 22m
Pixel Camera2m
Fall Risk Assessment3m
An Objective Balance Test7m
1 reading
Reading Material Links10m
1 practice exercise
Quiz 214m
Week
31 hour to complete
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 (Total 57 min), 2 readings, 1 quiz
13 videos
What is Computer Vision?2m
Applications of CV7m
A look back at Lesson 151s
Introduction to Lesson 21m
SimpleCV vs OpenCV3m
Setting up your environment7m
A look back at Lesson 21m
Introduction to Lesson 31m
Basic Application3m
Adding Features9m
Server Setup15m
A look back at Lesson 33m
2 readings
Setup Commands10m
Code access10m
1 practice exercise
Module 3 Quiz8m
4.4
12 Reviews67%
started a new career after completing these courses
67%
got a tangible career benefit from this course
Top Reviews
excellent, I like the digital image processing, and the use of different free software tools for it.
So much I have learned in this course and so thankful to UCSD and Coursera.
Instructors
Harinath Garudadri
Associate Research ScientistQualcomm Institute of Calit2, UC, San Diego
Ganz Chockalingam
Principal EngineerQualcomm Institute of Calit2, UC, San Diego
About 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.
About the Internet of Things Specialization
This Specialization covers the development of Internet of Things (IoT) products and services—including devices for sensing, actuation, processing, and communication—to help you develop skills and experiences you can employ in designing novel systems. The Specialization has theory and lab sections. In the lab sections you will learn hands-on IoT concepts such as sensing, actuation and communication. In the final Capstone Project, developed in partnership with Qualcomm, you’ll apply the skills you learned on a project of your choice using the DragonBoard 410c platform.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.
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