Internet of Things: Multimedia Technologies

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Internet of Things: Multimedia Technologies

Coursera (CC)
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Description

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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 th…

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Didn't find what you were looking for? See also: Multimedia, Marketing Planning, Planning, Product Management, and Marketing Essentials.

When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

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 课程作业

每门课程都像是一本互动的教科书,具有预先录制的视频、测验和项目。

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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.

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 expand


  1. Video: Specialization Trailer
  2. 阅读: 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 expand


  1. Video: Introduction to Lesson 1
  2. Video: Acronyms
  3. Video: Terminology
  4. Video: A look back at Lesson 1
  5. 阅读: Additional Links
  6. Video: Introduction to Lesson 2
  7. Video: Multimedia Computing and Classification
  8. Video: Multimedia Importance
  9. Video: Driving Forces in Multimedia
  10. Video: Multimedia Applications
  11. Video: Working with Libraries
  12. Video: A look back at Lesson 2
  13. Video: Introduction to Lesson 3
  14. Video: Android Multimedia
  15. Video: C/C++
  16. Video: Python
  17. 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 expand


  1. Video: Multimedia Technologies
  2. Video: Introduction to Lesson 1
  3. Video: A Generic Model
  4. Video: Audio Processing
  5. Video: Image Processing
  6. Video: Video Processing
  7. Video: Quality Evaluation
  8. Video: Introduction to Lesson 2
  9. Video: Pixel Camera
  10. Video: Fall Risk Assessment
  11. Video: An Objective Balance Test
  12. 阅读: 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 expand


  1. Video: Introduction to Lesson 1
  2. Video: What is Computer Vision?
  3. Video: Applications of CV
  4. Video: A look back at Lesson 1
  5. Video: Introduction to Lesson 2
  6. Video: SimpleCV vs OpenCV
  7. Video: Setting up your environment
  8. Video: A look back at Lesson 2
  9. 阅读: Setup Commands
  10. Video: Introduction to Lesson 3
  11. Video: Basic Application
  12. Video: Adding Features
  13. Video: Server Setup
  14. Video: A look back at Lesson 3
  15. 阅读: Code access

Graded: Module 3 Quiz
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