À propos de ce cours
4.4
77 notes
10 avis
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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Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

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Clock

Approx. 4 hours to complete

Recommandé : 3 weeks of study, 1-2 hours/week...
Comment Dots

English

Sous-titres : English...
Stacks
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Clock

Approx. 4 hours to complete

Recommandé : 3 weeks of study, 1-2 hours/week...
Comment Dots

English

Sous-titres : English...

Programme du cours : ce que vous apprendrez dans ce cours

Week
1
Clock
14 minutes pour terminer

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 vidéo (Total 4 min), 1 lecture
Video1 vidéo
Reading1 lecture
Course 5 Slides10 min
Clock
1 heure pour terminer

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 vidéos (Total 51 min), 1 lecture, 1 quiz
Video16 vidéos
Acronyms2 min
Terminology3 min
A look back at Lesson 1 min
Introduction to Lesson 21 min
Multimedia Computing and Classification8 min
Multimedia Importance4 min
Driving Forces in Multimedia5 min
Multimedia Applications7 min
Working with Libraries2 min
A look back at Lesson 22 min
Introduction to Lesson 31 min
Android Multimedia2 min
C/C++2 min
Python2 min
A look back at Lesson 31 min
Reading1 lecture
Additional Links10 min
Quiz1 exercice pour s'entraîner
Module 1 Quiz6 min
Week
2
Clock
1 heure pour terminer

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 vidéos (Total 59 min), 1 lecture, 1 quiz
Video11 vidéos
Introduction to Lesson 1 min
A Generic Model12 min
Audio Processing7 min
Image Processing6 min
Video Processing6 min
Quality Evaluation6 min
Introduction to Lesson 22 min
Pixel Camera2 min
Fall Risk Assessment3 min
An Objective Balance Test7 min
Reading1 lecture
Reading Material Links10 min
Quiz1 exercice pour s'entraîner
Quiz 214 min
Week
3
Clock
1 heure pour terminer

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 vidéos (Total 57 min), 2 lectures, 1 quiz
Video13 vidéos
What is Computer Vision?2 min
Applications of CV7 min
A look back at Lesson 1 min
Introduction to Lesson 21 min
SimpleCV vs OpenCV3 min
Setting up your environment7 min
A look back at Lesson 21 min
Introduction to Lesson 31 min
Basic Application3 min
Adding Features9 min
Server Setup15 min
A look back at Lesson 33 min
Reading2 lectures
Setup Commands10 min
Code access10 min
Quiz1 exercice pour s'entraîner
Module 3 Quiz8 min
4.4
Direction Signs

67%

a commencé une nouvelle carrière après avoir terminé ces cours
Briefcase

83%

a bénéficié d'un avantage concret dans sa carrière grâce à ce cours

Meilleurs avis

par JCApr 19th 2018

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

par MIMar 3rd 2017

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

Enseignants

Harinath Garudadri

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

Ganz Chockalingam

Principal Engineer
Qualcomm Institute of Calit2, UC, San Diego

À propos de 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....

À propos de la Spécialisation 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

Foire Aux Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.