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.
What is Computer Vision?
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4.6 (238 件の評価)
- 5 stars76.47%
- 4 stars15.96%
- 3 stars3.36%
- 2 stars2.52%
- 1 star1.68%
JM
2020年5月15日
C’est un cours exceptionnel touchant des sujets et des outils indispensables pour l’implémentation des internet de choses.
MM
2021年3月4日
This is a great module to give an insight of multimedia technologies. I really enjoyed learning.
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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.
講師
Harinath Garudadri
Associate Research Scientist
Ganz Chockalingam
Principal Engineer
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