Apply hybrid method of relevance feedback and EMD algorithm in a color feature extraction CBIR system

In the past decade, the rapid spread of multimedia and network technology leads to the development of multimedia information retrieval techniques, especially the CBIR (content-based image retrieval) research. In this paper, we introduce a CBIR system which applies hybrid method of relevance feedback and the Earth Mover’s Distance (EMD) algorithm. Given a query image, the system can extract color feature, convert RGB color space to HSV color space. In attempt to reduce the drawback of bin-by-bin distance, Earth Mover’s Distance (EMD) algorithm is utilized. What is more, the gap between the features computer extracts and the user’s semantic concepts causes an unsatisfying retrieval result. Nowadays we realized that the semantic gap may be resolved by applying relevance feedback[1], a powerful query modification technique in the process of CBIR. Experimental results demonstrate the improvement compared with tradition methods. Finally, a visual demo shows the retrieval results which is evaluated by MEPG-7 standard.