Об этом курсе
4.4
Оценки: 77
Рецензии: 10
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....
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Approx. 4 hours to complete

Предполагаемая нагрузка: 3 weeks of study, 1-2 hours/week...
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Только онлайн-курсы

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Calendar

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Назначьте сроки сдачи в соответствии со своим графиком.
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Approx. 4 hours to complete

Предполагаемая нагрузка: 3 weeks of study, 1-2 hours/week...
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Программа курса: что вы изучите

Week
1
Clock
14 минуты на завершение

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....
Reading
1 видео (всего 4 мин.), 1 материал для самостоятельного изучения
Video1 видео
Reading1 материала для самостоятельного изучения
Course 5 Slides10мин
Clock
1 ч. на завершение

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....
Reading
16 видео (всего 51 мин.), 1 материал для самостоятельного изучения, 1 тест
Video16 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
Reading1 материала для самостоятельного изучения
Additional Links10мин
Quiz1 практического упражнения
Module 1 Quiz6мин
Week
2
Clock
1 ч. на завершение

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....
Reading
11 видео (всего 59 мин.), 1 материал для самостоятельного изучения, 1 тест
Video11 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
Reading1 материала для самостоятельного изучения
Reading Material Links10мин
Quiz1 практического упражнения
Quiz 214мин
Week
3
Clock
1 ч. на завершение

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....
Reading
13 видео (всего 57 мин.), 2 материалов для самостоятельного изучения, 1 тест
Video13 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
Reading2 материала для самостоятельного изучения
Setup Commands10мин
Code access10мин
Quiz1 практического упражнения
Module 3 Quiz8мин
4.4
Direction Signs

67%

начал новую карьеру, пройдя эти курсы
Briefcase

83%

получил значимые преимущества в карьере благодаря этому курсу

Лучшие рецензии

автор: JCApr 19th 2018

excellent, I like the digital image processing, and the use of different free software tools for it.

автор: MIMar 3rd 2017

So much I have learned in this course and so thankful to UCSD and Coursera.

Преподавателя

Harinath Garudadri

Associate Research Scientist
Qualcomm Institute of Calit2, UC, San Diego

Ganz Chockalingam

Principal Engineer
Qualcomm 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....
Internet of Things

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