Currently

image analysis is the central issue in the field of computer vision. It reflects the inclusion relationships between the scene and the object. In the process of scene analysis

properly used contextual knowledge can improve the applicability of the scene analysis model and the accuracy of the object recognition. We do our research on the scene analysis from a hierarchical perspective of "database-scene-object-part-visual words"

and we add global contextual information and local contextual information into a generative graph model based on a hierarchical dirichlet process

analyzing the scene at the scene-level and the object-level at the same time. In this way

the result of the scene analysis can be used to constrain object recognition

while the object recognition result feedback effect on the scene analysis.