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.
Этот курс входит в специализацию ''Специализация Internet of Things'
Internet of Things: Multimedia Technologies
от партнера
Программа курса: что вы изучите
Неделя
1Introduction
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 материал для самостоятельного изучения
1 видео
1 материал для самостоятельного изучения
Course 5 Slides10мин
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 материал для самостоятельного изучения, 1 тест
16 видео
Acronyms2мин
Terminology3мин
A look back at Lesson 1мин
Introduction to Lesson 21мин
Multimedia Computing and Classification8мин
Multimedia Importance4мин
Driving Forces in Multimedia5мин
Multimedia Applications7мин
Working with Libraries2мин
A look back at Lesson 22мин
Introduction to Lesson 31мин
Android Multimedia2мин
C/C++2мин
Python2мин
A look back at Lesson 31мин
1 материал для самостоятельного изучения
Additional Links10мин
1 практическое упражнение
Module 1 Quiz6мин
Неделя
2Codecs
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 материал для самостоятельного изучения, 1 тест
11 видео
Introduction to Lesson 1мин
A Generic Model12мин
Audio Processing7мин
Image Processing6мин
Video Processing6мин
Quality Evaluation6мин
Introduction to Lesson 22мин
Pixel Camera2мин
Fall Risk Assessment3мин
An Objective Balance Test7мин
1 материал для самостоятельного изучения
Reading Material Links10мин
1 практическое упражнение
Quiz 214мин
Неделя
3Computer 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 материалов для самостоятельного изучения, 1 тест
13 видео
What is Computer Vision?2мин
Applications of CV7мин
A look back at Lesson 1мин
Introduction to Lesson 21мин
SimpleCV vs OpenCV3мин
Setting up your environment7мин
A look back at Lesson 21мин
Introduction to Lesson 31мин
Basic Application3мин
Adding Features9мин
Server Setup15мин
A look back at Lesson 33мин
2 материала для самостоятельного изучения
Setup Commands10мин
Code access10мин
1 практическое упражнение
Module 3 Quiz8мин
4.4
Рецензии: 1067%
начал новую карьеру, пройдя эти курсы
83%
получил значимые преимущества в карьере благодаря этому курсу
Лучшие рецензии
автор: JC•Apr 19th 2018
excellent, I like the digital image processing, and the use of different free software tools for it.
автор: MI•Mar 3rd 2017
So much I have learned in this course and so thankful to UCSD and Coursera.
Преподавателя
Harinath Garudadri
Associate Research ScientistQualcomm Institute of Calit2, UC, San Diego
Ganz Chockalingam
Principal EngineerQualcomm Institute of Calit2, UC, San Diego
О 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.
О специализации ''Internet of Things'
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.
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Записавшись на курс, вы получите доступ ко всем курсам в специализации, а также возможность получить сертификат о его прохождении. После успешного прохождения курса на странице ваших достижений появится электронный сертификат. Оттуда его можно распечатать или прикрепить к профилю LinkedIn. Просто ознакомиться с содержанием курса можно бесплатно.
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