IMAGE CONTENT EXTRACTION USING A BOTTOM-UP VISUAL ATTENTION MODEL

In this paper we propose a perceptual approach to content analysis based on region segmentation. Content adaptation has become one of the most important problems in recent years due to fast growing of multimedia based services. The process of content analysis and extraction represents one step in solving the problem of content adaptation. Adaptation means the preparation and delivery of content that matches the resources of the connected terminal or network in an optimal way. The proposed content extraction method it can be classified as perceptual because it uses HVS to detect salient regions in images. The main idea of this approach is to adapt the content to the user resources without loss of salient information. Region segmentation is used for object detection and combined with the bottom-up visual attention model can lead to salient object detection.