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Scene boundary detection via video self-similarity analysis

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2 Author(s)
Cooper, M. ; FX Palo Alto Lab., CA, USA ; Foote, J.

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

Published in:

Image Processing, 2001. Proceedings. 2001 International Conference on  (Volume:3 )

Date of Conference:

2001