Video scene segmentation using the shot transition detection by local characterization of the points of interest

In this article, we propose a new approach to scene segmentation of video based on the shot detection. The methods of segmentation by scenes are still expensive in computation, in most of time; this detection uses matrices of dissimilarity as calculation kernel for clustering algorithms, which impli...

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Bibliographische Detailangaben

Hauptverfasser:	Chergui, A., Bekkhoucha, A., Sabbar, W.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	characterizations Clustering algorithms Detectors Eigenvalues and eigenfunctions Image color analysis Image segmentation key-frames measure of dissimilarity (similarity) non-supervised clustering points of interest Symmetric matrices Vectors video segmentation in scenes video segmentation in shots
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