Informações sobre o curso: 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.

Desenvolvido por: University of California San Diego

Ministrado por: Harinath Garudadri, Associate Research Scientist
Qualcomm Institute of Calit2, UC, San Diego
Ministrado por: Ganz Chockalingam, Principal Engineer
Qualcomm Institute of Calit2, UC, San Diego

Informações básicas	Curso 5 de 6 no Internet of Things Specialization
Compromisso	3 weeks of study, 1-2 hours/week
Idioma	English
Como ser aprovado	Seja aprovado em todas as tarefas para concluir o curso.
Classificação do usuário	4.4 estrelas Classificação média do usuário 4.4Veja o que os aprendizes disseram

Programa

SEMANA 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 vídeo, 1 leitura

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 vídeos, 1 leitura

Vídeo: Acronyms
Vídeo: Terminology
Vídeo: A look back at Lesson 1
Reading: Additional Links
Vídeo: Introduction to Lesson 2
Vídeo: Multimedia Computing and Classification
Vídeo: Multimedia Importance
Vídeo: Driving Forces in Multimedia
Vídeo: Multimedia Applications
Vídeo: Working with Libraries
Vídeo: A look back at Lesson 2
Vídeo: Introduction to Lesson 3
Vídeo: Android Multimedia
Vídeo: C/C++
Vídeo: Python
Vídeo: A look back at Lesson 3

Nota atribuída: Module 1 Quiz

SEMANA 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 vídeos, 1 leitura

Vídeo: Introduction to Lesson 1
Vídeo: A Generic Model
Vídeo: Audio Processing
Vídeo: Image Processing
Vídeo: Video Processing
Vídeo: Quality Evaluation
Vídeo: Introduction to Lesson 2
Vídeo: Pixel Camera
Vídeo: Fall Risk Assessment
Vídeo: An Objective Balance Test
Reading: Reading Material Links

Nota atribuída: Quiz 2

SEMANA 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 vídeos, 2 leituras

Vídeo: What is Computer Vision?
Vídeo: Applications of CV
Vídeo: A look back at Lesson 1
Vídeo: Introduction to Lesson 2
Vídeo: SimpleCV vs OpenCV
Vídeo: Setting up your environment
Vídeo: A look back at Lesson 2
Reading: Setup Commands
Vídeo: Introduction to Lesson 3
Vídeo: Basic Application
Vídeo: Adding Features
Vídeo: Server Setup
Vídeo: A look back at Lesson 3
Reading: Code access

Nota atribuída: Module 3 Quiz

Perguntas frequentes

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E se eu precisar de tempo adicional para concluir o curso?

O que obtenho se eu pagar por este curso?

Posso fazer este curso gratuitamente?

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Desenvolvedores

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.

Custo

	Comprar curso
Acesso aos materiais do curso	Disponível
Acesso a materiais valendo nota	Disponível
Receba uma nota final	Disponível
Obtenha um Certificado de Curso compartilhável	Disponível