Acerca de este 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.

Creada por: Universidad de California en San Diego

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

Información básica	Curso 5 de 6 en Internet of Things Specialization
Compromiso	3 weeks of study, 1-2 hours/week
Idioma	English
Cómo aprobar	Aprueba todas las tareas calificadas para completar el curso.
Calificaciones del usuario	4.4 estrellas Calificación promedio del usuario 4.4Ve los que los estudiantes dijeron

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 video, 1 reading

Vídeo: 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 videos, 1 reading

Vídeo: Introduction to Lesson 1
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

Calificado: 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 videos, 1 reading

Vídeo: Multimedia Technologies
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

Calificado: 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 videos, 2 readings

Vídeo: Introduction to Lesson 1
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

Calificado: Module 3 Quiz

Preguntas Frecuentes

When will I have access to the lectures and assignments?

What will I get if I pay for this course?

What is the refund policy?

Is financial aid available?

Cómo funciona

Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Creadores

Universidad de California en 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.

Tarifa

	Comprar curso
Accede a los materiales del curso	Disponible
Accede a los materiales con calificación	Disponible
Recibe una calificación final	Disponible
Obtén un Certificado de curso para compartir	Disponible