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.
Internet of Things: Multimedia Technologies
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Internet of Things: Multimedia Technologies
This course is part of Internet of Things and AI Cloud Specialization
Instructors: Harinath Garudadri
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Gain insight into a topic and learn the fundamentals.
4.7
(303 reviews)
5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Details to know
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Assessments
3 assignments
Taught in English
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This course is part of the Internet of Things and AI Cloud Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
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.
What's included
1 video1 reading
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.
What's included
16 videos1 reading1 assignment
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.
What's included
11 videos1 reading1 assignment
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.
What's included
13 videos2 readings1 assignment
Instructors
Instructor ratings
4.5 (44 ratings)Offered by
Recommended if you're interested in Electrical Engineering
Duke University
Institut Mines-Télécom
L&T EduTech
University of California, Irvine
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