A Survey on Image Retrieval Techniques for Capturing User Intention

Web search engines are been used in large scale for image retrieval. Largely used web-search engines (like Google, Bing, iLike, etc) mostly rely on various based image search. User enters a query in this search engines and gets images as result. This provides us with random and noisy results as outcome. This search does not provide user’s intent result. User has to go through all the obtained images and select the required image suitable to user’s intention. These increases complexities for users. To overcome these complexities many of the different image techniques are researched. Some techniques are textual-based, some are color-based and some are shape-based, while some may be the combinations of above all techniques. Some techniques search images online, while some searches offline. But the intension of all the techniques is to capture user’s intention. In this paper, we present a novel internet image search approach. This paper contains an efficiently proven profitable technique for capturing user’s intention. In the further context, we discussed various techniques of image search for efficient image retrieval in short.