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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Salient Region Detection Using Weighted Feature Maps Based on the Human Visual Attention Model
verfasst von : Yiqun Hu, Xing Xie, Wei-Ying Ma, Liang-Tien Chia, Deepu Rajan
Erschienen in: Advances in Multimedia Information Processing - PCM 2004
Verlag: Springer Berlin Heidelberg
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Detection of salient regions in images is useful for object based image retrieval and browsing applications. This task can be done using methods based on the human visual attention model [1], where feature maps corresponding to color, intensity and orientation capture the corresponding salient regions. In this paper, we propose a strategy for combining the salient regions from the individual feature maps based on a new
Composite Saliency Indicator (CSI)
which measures the contribution of each feature map to saliency. The method also carries out a dynamic weighting of individual feature maps. The experiment results indicate that this combination strategy reflects the salient regions in an image more accurately.