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.
ofrecido por
Universidad de California en San Diego
Acerca de este Curso
3,414 vistas recientes
Resultados profesionales del estudiante
67%
comenzó una nueva carrera después de completar estos cursos
67%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Resultados profesionales del estudiante
67%
comenzó una nueva carrera después de completar estos cursos
67%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 4 horas para completar
Sugerido: 3 weeks of study, 1-2 hours/week
Inglés (English)
Subtítulos: Inglés (English)
Programa - Qué aprenderás en este curso
14 minutos para completar
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.
14 minutos para completar
1 video (Total 4 minutos), 1 lectura
1 video
1 lectura
Course 5 Slides10m
1 hora para completar
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.
1 hora para completar
16 videos (Total 51 minutos), 1 lectura, 1 cuestionario
16 videos
Acronyms2m
Terminology3m
A look back at Lesson 150s
Introduction to Lesson 21m
Multimedia Computing and Classification8m
Multimedia Importance4m
Driving Forces in Multimedia5m
Multimedia Applications7m
Working with Libraries2m
A look back at Lesson 22m
Introduction to Lesson 31m
Android Multimedia2m
C/C++2m
Python2m
A look back at Lesson 31m
1 lectura
Additional Links10m
1 ejercicio de práctica
Module 1 Quiz6m
1 hora para completar
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.
1 hora para completar
11 videos (Total 59 minutos), 1 lectura, 1 cuestionario
11 videos
Introduction to Lesson 157s
A Generic Model12m
Audio Processing7m
Image Processing6m
Video Processing6m
Quality Evaluation6m
Introduction to Lesson 22m
Pixel Camera2m
Fall Risk Assessment3m
An Objective Balance Test7m
1 lectura
Reading Material Links10m
1 ejercicio de práctica
Quiz 214m
1 hora para completar
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.
1 hora para completar
13 videos (Total 57 minutos), 2 lecturas, 1 cuestionario
13 videos
What is Computer Vision?2m
Applications of CV7m
A look back at Lesson 151s
Introduction to Lesson 21m
SimpleCV vs OpenCV3m
Setting up your environment7m
A look back at Lesson 21m
Introduction to Lesson 31m
Basic Application3m
Adding Features9m
Server Setup15m
A look back at Lesson 33m
2 lecturas
Setup Commands10m
Code access10m
1 ejercicio de práctica
Module 3 Quiz8m
Revisiones
Principales revisiones sobre INTERNET OF THINGS: MULTIMEDIA TECHNOLOGIES
por KCFeb 11, 2020
Learnt useful terms and had fun figuring things out alongside the experts\n\nI have completed this course, and yet I have been billed. Can you please check?
por JCApr 18, 2018
excellent, I like the digital image processing, and the use of different free software tools for it.
por MIMar 2, 2017
So much I have learned in this course and so thankful to UCSD and Coursera.
ofrecido por
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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
¿Cuál es la política de reembolsos?
¿Hay ayuda económica disponible?
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
