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.
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University of California San DiegoAbout this Course
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Learner Career Outcomes
67%
started a new career after completing these courses
67%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
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Approx. 4 hours to complete
English
Subtitles: English
Learner Career Outcomes
67%
started a new career after completing these courses
67%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 4 hours to complete
English
Subtitles: English
Offered by
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.
Syllabus - What you will learn from this course
14 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.
14 minutes to complete
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.
1 hour to complete
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
1 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.
1 hour to complete
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
1 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.
1 hour to complete
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
Reviews
TOP REVIEWS FROM INTERNET OF THINGS: MULTIMEDIA TECHNOLOGIES
by KCFeb 11, 2020
Learnt useful terms and had fun figuring things out alongside the experts I have completed this course, and yet I have been billed. Can you please check?
by KKMay 3, 2020
This course is very easy to learn and the everything in this course is very understanding .And I completed it one day with my dedication.
by JMMay 15, 2020
C’est un cours exceptionnel touchant des sujets et des outils indispensables pour l’implémentation des internet de choses.
by JCApr 18, 2018
excellent, I like the digital image processing, and the use of different free software tools for it.
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