Video summarization using a neurodynamical model of visual attention

被引：0

作者：

Corchs, S ^{[1
]}

Ciocca, G ^{[1
]}

Schettini, R ^{[1
]}

Deco, G ^{[1
]}

机构：

[1] Univ Milan, Dipartimento Informat Sistemist & Comunicaz, I-20126 Milan, Italy

来源：

2004 IEEE 6TH WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING | 2004年

关键词：

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：

We propose a new approach to select the representative frames for video summarization. The representative frames are selected based on the results of the analysis of the events depicted in the shot in terms of Regions of Interest (ROIs). These ROIs are obtained front a biologically based computational model of visual attention. To select the video frames, that will be part of the final visual summary, we exploit an adaptive temporal sampling method that analyzes the visual feature distribution of the ROIs. Preliminary results are presented and discussed.

引用

页码：71 / 74

页数：4

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