A New Hybrid Texture-Perceptual Descriptor: Application CBIR

Content based image retrieval (CBIR) has been the center of interest for a long time. A lot of research have been done to enhance the performance of these systems. Most of the proposed works focused on improving the image representation(bag-of-features) and classification methods. In this paper, we focus on enhancing the second component of CBIR system: region appearance description method. In this context, we propose a new descriptor describing the spatial frequency property of some perceptual features in the image. This descriptor has the advantage of being lower dimension vs. traditional descriptors as SIFT (60 vs. 128), thus computationally more efficient, with only 5% loss in performance using a typical CBIR algorithm on VOC 2007 dataset.