Video Sequence Boundary Detection Using Neural Gas Networks

Authors:
Xiang Cao;Ponnuthurai N. Suganthan
Affiliations:
-;-
Venue:
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Year:
2001

Citing 5
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Abstract

Video sequence boundary detection is an important first step in the construction of efficient and user-friendly video archives. In this paper, we propose to employ growing neural gas (GNG) networks [7] to detect the shot boundaries, as the neural networks are capable of learning the characteristics of various shots andclustering them accordingly. We represent the image frames by 6-bit color-coded histograms.We make use of the chi-square distances between histograms of neighboring frames as the primary features to train the GNG and to detect the shot boundaries. Experimental results presentedin this paper demonstrate the reliable performance of our proposedapproac h on real video sequences.