Image segmentation approach in multimodal information retrieval

In recent years, information retrieval has been one of the vast area of research that focuses not only on a single mode of retrieval system but on multimodal (i.e. text, image, audio and video) information retrieval systems that binds multimodalities into a single repository. Multimodal retrieval system provides the features to search/retrieve information that are available in multiple formats. Systems have not reached the initial goal, i.e. to manage and search images in database we are unable to link the semantic sense of an image to numerical values. To meet the requirement as preprocessing step segmentation is used in Content Based Image Retrieval. In this context, we proposed statistical segmentation approach in this paper. After segmentation the features are extracted for the segmented images, which are helpful in understanding the contents of the image and retrieved the information.