Scene Detection with Python and OpenCV, Part 2

Wed, 06 Sep 2017 01:14:08 +0200

Part 2: Adaptive Threshold Detection

This post is currently being migrated from the old location, click here to view the old one on The Wayback Machine.

Scene Detection with Python and OpenCV, Part 1

Sat, 19 Oct 2013 00:00:00 +0000

Part 1: Threshold/Fade-to-Black Detection

This tutorial is currently being migrated from the old location. In the meantime, you can view the cached version of the previous, complete version on The Wayback Machine by clicking here. Thank you for your patience during this time.

In the first part of this three-part tutorial, we will write a Python program, using the OpenCV library, to perform threshold-based scene detection, to determine the exact frames where scene transitions (fade ins/outs to/from black in this case) occur. In the following tutorials, we will optimize our scene detection algorithm, and use the output to create a scene list with proper timecodes (Part 2) so a video can be split automatically into scenes. Lastly, we will cover how to detect content-based scene changes (in a future Part 3, coming soon), and combine this with the concepts from the previous tutorials to create a robust scene detection program.

Tutorials on Brandon Castellano

Scene Detection with Python and OpenCV, Part 2

Part 2: Adaptive Threshold Detection

Scene Detection with Python and OpenCV, Part 1

Part 1: Threshold/Fade-to-Black Detection