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.