Proc. SPIE. 8667, Multimedia Content and Mobile Devices
KEYWORDS: Content based image retrieval, Image fusion, Visualization, Image segmentation, Image processing, Feature extraction, Image retrieval, Information science, Information visualization, RGB color model
Diversification of retrieval results allows for better and faster search. Recently there has been proposed different
methods for diversification of image retrieval results mainly utilizing text information and techniques imported from natural language processing domain. However, images contain visual information that is impossible to describe in text and the use of visual features is inevitable. Visual saliency is information about the main object of an image implicitly included by humans while creating visual content. For this reason it is naturally to exploit this information for the task of diversification of the content. In this work we study whether visual saliency can be used for the task of diversification and propose a method for re-ranking image retrieval results using saliency. The evaluation has shown that the use of saliency information results in higher diversity of retrieval results.