"Object-Scene" contextual associated generative graph model analysis
“目标-场景”语境关联的生成图模型分析

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.