A Multimodal Approach for Image Annotation and Searching

Several models have been prepared for searching images which utilize different techniques. For each of new technique different outcomes are obtained which have probability to search the required image as per user requirement on the basis of query. So targeting the most probable paper makes the very low precision. The basic component here is to collect different features of the image so that searching can be made more effective. The optimization of the searching it is required that all the visual features of the image should utilize. In this paper, the visual content of image is use for annotation with multimodal approach. Proposed work shows the better result as compare to previous works.