Image retrieval based on visual attention model

Image Retrieval has always been an area of extensive research. Many efficient retrieval algorithms have already been proposed. Text based image retrieval system got replaced and Content Based Image Retrieval (CBIR) came into being. CBIR, more efficient than text based image retrieval, has already been implemented by several techniques and researches are going on to increase the efficiency. This paper proposes a new technique of incorporating visual attention model to segment and extract the ROI from an image and then use the result for image retrieval purposes. The main advantage of this concept lies in the improvement of the performance of this retrieval scheme in terms of two parameters: Precision and Recall.