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.
Este curso faz parte do Programa de cursos integrados Internet das Coisas — IoTInternet das coisas - IoT
Internet das Coisas: Tecnologias Multimídia
oferecido por
Programa de cursos integrados Internet das Coisas — IoTInternet das coisas - IoTUniversidade da Califórnia, San Diego
Programa - O que você aprenderá com este curso
Semana
114 minutos para concluir
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 vídeos (total de (Total 4 mín.) min), 1 leitura
1 videos
1 leituras
Course 5 Slides10min
1 horas para concluir
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 (total de (Total 51 mín.) min), 1 leitura, 1 teste
16 videos
Acronyms2min
Terminology3min
A look back at Lesson 150s
Introduction to Lesson 21min
Multimedia Computing and Classification8min
Multimedia Importance4min
Driving Forces in Multimedia5min
Multimedia Applications7min
Working with Libraries2min
A look back at Lesson 22min
Introduction to Lesson 31min
Android Multimedia2min
C/C++2min
Python2min
A look back at Lesson 31min
1 leituras
Additional Links10min
1 exercícios práticos
Module 1 Quiz6min
Semana
21 horas para concluir
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 (total de (Total 59 mín.) min), 1 leitura, 1 teste
11 videos
Introduction to Lesson 157s
A Generic Model12min
Audio Processing7min
Image Processing6min
Video Processing6min
Quality Evaluation6min
Introduction to Lesson 22min
Pixel Camera2min
Fall Risk Assessment3min
An Objective Balance Test7min
1 leituras
Reading Material Links10min
1 exercícios práticos
Quiz 214min
Semana
31 horas para concluir
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 (total de (Total 57 mín.) min), 2 leituras, 1 teste
13 videos
What is Computer Vision?2min
Applications of CV7min
A look back at Lesson 151s
Introduction to Lesson 21min
SimpleCV vs OpenCV3min
Setting up your environment7min
A look back at Lesson 21min
Introduction to Lesson 31min
Basic Application3min
Adding Features9min
Server Setup15min
A look back at Lesson 33min
2 leituras
Setup Commands10min
Code access10min
1 exercícios práticos
Module 3 Quiz8min
67%
comecei uma nova carreira após concluir estes cursos
67%
consegui um benefício significativo de carreira com este curso
Melhores avaliações
excellent, I like the digital image processing, and the use of different free software tools for it.
So much I have learned in this course and so thankful to UCSD and Coursera.
Instrutores
Harinath Garudadri
Associate Research ScientistQualcomm Institute of Calit2, UC, San Diego
Ganz Chockalingam
Principal EngineerQualcomm Institute of Calit2, UC, San Diego
Sobre Universidade da Califórnia, 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.
Sobre o Programa de cursos integrados Internet das Coisas — IoTInternet das coisas - IoT
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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
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