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Erschienen in:
2013 | OriginalPaper | Buchkapitel
VSCAN: An Enhanced Video Summarization Using Density-Based Spatial Clustering
verfasst von : Karim M. Mahmoud, Mohamed A. Ismail, Nagia M. Ghanem
Erschienen in: Image Analysis and Processing – ICIAP 2013
Verlag: Springer Berlin Heidelberg
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In this paper, we present VSCAN, a novel approach for generating static video summaries. This approach is based on a modified DBSCAN clustering algorithm to summarize the video content utilizing both color and texture features of the video frames. The paper also introduces an enhanced evaluation method that depends on color and texture features. Video Summaries generated by VSCAN are compared with summaries generated by other approaches found in the literature and those created by users. Experimental results indicate that the video summaries generated by VSCAN have a higher quality than those generated by other approaches.