Content-based image retrieval in DCT compressed domain with MPEG-7 edge descriptor and genetic algorithm

摘要

In this paper, we propose a content-based image retrieval scheme in discrete cosine transform compressed domain with the help of genetic algorithm (GA). A combination of three image features, i.e., color histogram, color moments, and edge histogram, is extracted directly from the compressed domain and is used for similarity matching using the Euclidian distance. However, all the above image features are not equally important in image retrieval. Before similarity matching, GA is used to provide optimal weight factor (importance) on the image features to improve the system performance. Extensive experiments are carried out on three publicly available databases, and the comparison results demonstrate the outperforming performance of the proposed method over state-of-the-art techniques. Moreover, it is also seen that the use of GA improves 5.83% in precession (P), 6.36% in recall (R), and 5.84% in F-score values over non-GA-based techniques.