Creating a semantic mapping method is important in solving semantic map.This paper proposes a vocabulary tree hierarchical semantic model image retrieval method.First extracting the characteristics of the image

such as the color information

SIFT feature

and then generating the visual vocabulary to describe the image of visual information.Using Bayesian theory map the visual vocabulary to the semantic subject information

then constructing a hierarchical semantic model.So based on this model we realize a semantic content-based image retrieval algorithms.Through the users relevance feedback

not only can be added to the positive feedback image

but also can be able to amend the high-level semantic mapping. perform stability

and with the increase in the number of feedback retrieval results can improve significantly.