Multiple Content-Based Video Retrieval Shot Boundary Detection Algorithms

This repository provides MATLAB implementations of multiple content-based video retrieval shot boundary detection algorithms. The programs implement several methods for detecting abrupt transitions: histogram-based analysis, chi-squared histogram comparison, pixel difference calculation, and edge contour matching techniques. These implementations not only help users understand the fundamental principles of video shot segmentation but also serve as excellent starting points for further research. The code includes key functions for frame differencing, color space conversion, and statistical similarity measurement between consecutive video frames. These algorithms were originally developed as part of my graduation thesis work. For optimal performance, it's recommended to pre-process video files by separating audio tracks and retaining only the image sequences, with input files in MPG format. The implementations feature configurable threshold parameters for transition detection and include visualization components for result analysis.