Об этом курсе: 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.
Автор: Калифорнийский университет в Сан-Диего
Преподаватели: Harinath Garudadri, Associate Research Scientist
Qualcomm Institute of Calit2, UC, San Diego
Преподаватели: Ganz Chockalingam, Principal Engineer
Qualcomm Institute of Calit2, UC, San Diego
| Основные сведения | Course 5 of 6 in the Internet of Things Specialization |
| Выполнение | 3 weeks of study, 1-2 hours/week |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 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 видео, 1 материал для самостоятельного изучения
- Видео: Specialization Trailer
- Reading: 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 видео, 1 материал для самостоятельного изучения
- Видео: Introduction to Lesson 1
- Видео: Acronyms
- Видео: Terminology
- Видео: A look back at Lesson 1
- Reading: Additional Links
- Видео: Introduction to Lesson 2
- Видео: Multimedia Computing and Classification
- Видео: Multimedia Importance
- Видео: Driving Forces in Multimedia
- Видео: Multimedia Applications
- Видео: Working with Libraries
- Видео: A look back at Lesson 2
- Видео: Introduction to Lesson 3
- Видео: Android Multimedia
- Видео: C/C++
- Видео: Python
- Видео: A look back at Lesson 3
Оцениваемый: Module 1 Quiz
НЕДЕЛЯ 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 видео, 1 материал для самостоятельного изучения
- Видео: Multimedia Technologies
- Видео: Introduction to Lesson 1
- Видео: A Generic Model
- Видео: Audio Processing
- Видео: Image Processing
- Видео: Video Processing
- Видео: Quality Evaluation
- Видео: Introduction to Lesson 2
- Видео: Pixel Camera
- Видео: Fall Risk Assessment
- Видео: An Objective Balance Test
- Reading: Reading Material Links
Оцениваемый: Quiz 2
НЕДЕЛЯ 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 видео, 2 материалов для самостоятельного изучения
- Видео: Introduction to Lesson 1
- Видео: What is Computer Vision?
- Видео: Applications of CV
- Видео: A look back at Lesson 1
- Видео: Introduction to Lesson 2
- Видео: SimpleCV vs OpenCV
- Видео: Setting up your environment
- Видео: A look back at Lesson 2
- Reading: Setup Commands
- Видео: Introduction to Lesson 3
- Видео: Basic Application
- Видео: Adding Features
- Видео: Server Setup
- Видео: A look back at Lesson 3
- Reading: Code access
Оцениваемый: Module 3 Quiz
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Авторы
Калифорнийский университет в Сан-Диего
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.
Стоимость
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Рейтинги и отзывы
Cours très utile . je vous recommande plus de pratique . merci !
Amazing and Easy Course
So much I have learned in this course and so thankful to UCSD and Coursera.
Coursera делает лучшее в мире образование доступным каждому, предлагая онлайн-курсы от ведущих университетов и организаций.
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excellent, I like the digital image processing, and the use of different free software tools for it.