Object clique representation for scene classification

High-level visual recognition such as scene classification is a challenging task in computer vision. In this paper, we propose an image descriptor based on semantic cliques obtained by high-order pure dependence, and the image is represented by a vector whose element denotes the probability of containing each object cliques. Compared with using single objects as attributes, such representation carries corresponding semantic information, making it more suitable for highlevel visual recognition tasks. The experiments show that our object cliques as attributes for scene representation improves the accuracy of image classification.