Book Image

Python Multimedia

By : Ninad Sathaye
Book Image

Python Multimedia

By: Ninad Sathaye

Overview of this book

Multimedia applications are used by a range of industries to enhance the visual appeal of a product. This book will teach the reader how to perform multimedia processing using Python. This step-by-step guide gives you hands-on experience for developing exciting multimedia applications using Python. This book will help you to build applications for processing images, creating 2D animations and processing audio and video. Writing applications that work with images, videos, and other sensory effects is great. Not every application gets to make full use of audio/visual effects, but a certain amount of multimedia makes any application a lot more appealing. There are numerous multimedia libraries for which Python bindings are available. These libraries enable working with different kinds of media, such as images, audio, video, games, and so on. This book introduces the reader to the most widely used open source libraries through several exciting, real world projects. Popular multimedia frameworks and libraries such as GStreamer,Pyglet, QT Phonon, and Python Imaging library are used to develop various multimedia applications.
Table of Contents (13 chapters)
Python Multimedia Beginner's Guide
Credits
About the Author
About the Reviewers
Preface

Installation prerequisites


We will use Python bindings of GStreamer multimedia framework to process video data. See the installation instructions in Chapter 5, Working with Audios to install GStreamer and other dependencies.

For video processing, we will be using several GStreamer plugins not introduced earlier. Make sure that these plugins are available in your GStreamer installation by running the gst-inspect-0.10 command from the console (gst-inspect-0.10.exe for Windows XP users). Otherwise, you will need to install these plugins or use an alternative if available.

Following is a list of additional plugins we will use in this chapter:

  • autoconvert: Determines an appropriate converter based on the capabilities. It will be used extensively used throughout this chapter.

  • autovideosink: Automatically selects a video sink to display a streaming video.

  • ffmpegcolorspace: Transforms the color space into a color space format that can be displayed by the video sink.

  • capsfilter: It's the capabilities filter...