An improved presentation method for relevance feedback in a content-based image retrieval system

Abstract

Content-based image retrieval (CBIR) has been adopted as a complementary technique to the keyword-based image search. Relevance feedback (RFB) is considered as an effective means to bridge the gap between the designated features and the run-time semantics on a CBIR system. Like many other interactive system, a good user interface, which in RFB is mainly the presentation of the query results, is an important factor that affects the quality of feedbacks. By incorporating the multidimensional scaling (MDS) and the outlier detection techniques, we propose a method of presenting multiple image icons in this paper. It preserves the high-dimensional distance information and shows the selected images at proper 2D locations. Viewing the matched images with distance cues, users are able to give effective and productive feedbacks. We design and implement this presentation system and show some subjective results at the end.