VSCAN: An Enhanced Video Summarization Using Density-Based Spatial Clustering

被引：0

作者：

Mahmoud, Karim M. ^{[1
]}

Ismail, Mohamed A. ^{[1
]}

Ghanem, Nagia M. ^{[1
]}

机构：

[1] Univ Alexandria, Fac Engn, Comp & Syst Engn Dept, Alexandria, Egypt

来源：

IMAGE ANALYSIS AND PROCESSING (ICIAP 2013), PT 1 | 2013年 / 8156卷

关键词：

Video Summarization; Color and Texture; Clustering; Evaluation Method; CLASSIFICATION; TRANSFORM; SELECTION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：733 / 742

页数：10

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