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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/internet-of-things-multimedia
课程评论：没有评论
课程名称：物联网：多媒体技术 课程概述：本课程探讨了无线互联网成功的重要特点，着重于如何利用Snapdragon™处理器的硬件和软件能力，高效且经济地获取、处理和渲染多媒体内容。您将学习iTunes、Google Play、YouTube、Netflix等媒体内容中使用的视频和音频编解码器的原理，了解优化质量和媒体带宽的文件格式及编解码设置，并在此基础上开发一个简单的媒体播放器应用。 学习目标：完成本课程后，您将能： 1. 解释内容传递中媒体质量与带宽之间的权衡。 2. 从媒体文件中提取并显示元数据。 3. 使用DragonBoard™ 410c实现并演示一个简单的媒体播放器应用。 课程大纲： 第一部分：术语/备忘单（初学者） 本模块介绍许多您可能不熟悉的新词汇和缩略语。如果您对技术术语的理解有信心，可以跳过这些课程，因为它们不会影响整个课程的完整性。对此感兴趣的内容，可以通过观看视频了解一些基本概念。建议在进入下一个模块之前，熟悉这些内容。 第二部分：编解码器 本模块中，尊敬的Harinath Garudadri教授将讲解编解码器（Codecs）。这将帮助我们在使用DragonBoard™ 410c时更好地利用多媒体选择。我们将探讨使用编解码器的动机、如何利用冗余信息的不同方法，并讨论各种接收器/发射器组合的优势。理解信息在数据平面上如何发送和接收，将使我们能够创建并使用合适的编解码器。 第三部分：计算机视觉与我们的应用 在本模块中，我们将深入探讨计算机视觉，讨论各种当前的应用和您们能够创造的未来应用！最终，我们将设置一个适用于Linaro/Debian版本的计算机视觉开发环境，以创建多种计算机视觉项目。模块结束时，我们将构建一个基本的Python应用，并添加一些功能，然后将代码传递给您！希望这段代码能为您提供一个良好的模板。
Part: 1
Title:Terminology/Cheat Sheet (Beginner)
Description: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.
Part: 2
Title:Codecs
Description: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.
Part: 3
Title:Computer Vision and our Application
Description: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.
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.
