An image retrieval method based on mean shift and EMD
Jieyu Zhao · Journal of Circuits and Systems · 2007
The description of the visual character and the similarity measure are two keys in an Image Retrieval System.A clustering algorithm based on mean shift is used to extract the dominant color and the color feature in CIE L*a*b* color model.Earth Mover’s Distance is used to calculate dissimilarity between images.In order to reduce the computation time,cursory search is used.The technique of relevance feedback is used to enhance the effectiveness.A simple prototype system is developed to compare the retrieval accuracies,the average rank and the execution time by two experiments.The results show that the proposed approach is effective.