Relevance Feedback in Content-Based Image Retrieval: Promising Directions

Abstract

In this paper we describe the current state of the art in relevance feedback as seen from a content-based image retrieval perspective. Recent technological advancements have spurred new research directions and have contributed new insights in the problem of visual information retrieval. We survey the main scientific problems and approaches in the last 4 years and give some recommendations for the future.