GStreamer / Video Stabilizer Element

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RidgeRun Video Stabilization Library

Table of Contents [Sticky]

• Basics and Foundation
  • What is Video Stabilization
  • Video Stabilization Process using IMU
  • Stabilization Algorithms with IMU
• Getting Started
  • Supported Platforms, Sensors and Backends
  • Evaluating the Library
  • Getting the Code
  • Building the Library
• API Reference
  • Library Architecture
  • Adding New Sensors
  • Adding Algorithms
  • Adding Stabilization Algorithm
  • Adding Backends
  • API Documentation
  • Examples Guidebook
• Library Integration for IMU
  • Preparing the Video
  • Preparing the IMU Measurements
  • Measurement Integration
  • Interpolation
  • Computing the Stabilization
  • Video Undistortion
  • Example Application
• GStreamer
  • Add Support for Video Timestamps
  • Add Support for IMU Sensors
  • Video Stabilizer Element
  • Example Pipelines
• Useful Links
  • BMI160 Setup
  • Performance
• Contact Us

Introduction

To ease the usage of the RidgeRun Video Stabilization library, a GStreamer plug-in is included to perform accelerated video stabilization based on the IMU readings. The stabilization process takes into account data coming from the sensor, which is matched with the timestamp of the frame to stabilize.

Thanks to this feature, the RidgeRun Video Stabilization GStreamer plug-in does not need buffering and reduces the latency of the stabilization library up to the processing time, which is usually less or equal to the frame interval (1/fps). For instance, if the framerate is 30 fps, the stabilization usually adds 33.3 ms or less.

This wiki will cover the features, properties and supported formats.

Supported Formats

The supported formats on GStreamer are:

• Input: RGBA
• Output: RGBA

The image dimensions are not constrained. However, it is highly recommended that the dimensions match a multiple of eight (8).

Properties

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