IEEE TRANSACTIONS ON CIRCUITS AND VIDEO TECHNOLOGY Relevance Feedback A Power Tool for Interactive Content Based Image Retrieval

Content Based Image Retrieval CBIR has be come one of the most active research areas in the past few years Many visual feature representations have been ex plored and many systems built While these research e orts establish the basis of CBIR the usefulness of the proposed approaches is limited Speci cally these e orts have rela tively ignored two distinct characteristics of CBIR systems the gap between high level concepts and low level fea tures subjectivity of human perception of visual content This paper proposes a relevance feedback based interactive retrieval approach which e ectively takes into account the above two characteristics in CBIR During the retrieval pro cess the user s high level query and perception subjectivity are captured by dynamically updated weights based on the user s feedback The experimental results over more than images show that the proposed approach greatly re duces the user s e ort of composing a query and captures the user s information need more precisely