Study on efficacy of relevance feedback for Content Based Image Retrieval

This paper focuses on a very powerful and efficient technique using which Content Based Image Retrieval (CBIR) is being performed. If one drills down to the origin of CBIR, one would come across low level features like shape, color and texture as parameters which have been used to represent images. These low level features allow one to locate images which are generally visually similar. Although, the image retrieval is performed but visually similar images are not mapped to nearby locations. Hence the need arose to create a powerful technique for image retrieval. Thus came into existence relevance feedback. We have performed an exhaustive study on the efficacy of relevance feedback for CBIR from its commencement till present day and have tried to highlight the advancements done so far in this promising technique.