Scene boundary detection via video self-similarity analysis

In this paper, we present a novel framework for analyzing video using self-similarity. Video scenes are located by analyzing inter-frame similarity matrices. The approach is flexible to the choice of similarity measure and is robust and data-independent because the data is used to model itself. We present the approach and its application to scene boundary detection. This is shown to dramatically outperform a conventional scene-boundary detector that uses a histogram-based measure of frame difference.

• Type: Conference
• Year: 2001
• Where: ICIP
• Authors: Matthew L. Cooper, Jonathan Foote
• Keywords: Conventional Scene-boundary Detector, ICIP 2001, Image Processing, Inter-frame Similarity Matrices, Similarity Measure