关键词: 基于内容图像检索, 复杂性网络, 小世界网络, 语义保存

Abstract: The research focus of CBIR is how to understand the content of image，digest the features of image and organize those features to retrieve.The result of retrieval is often discarded，which can not be used for the future retrieval of the similar images.This paper proposes a novel scheme for semantics saving of the results of the image retrieval，which uses the similar images of the retrieval results to form the complex network whose nodes are the regions of the images and uses the community finding algorithm to get the semantics communities to save the semantics concept of the retrieval results for matching the similar image of the same semantics in the future retrieval.It has shown from the experiments that the complex networks have the character of small world and can quicken the retrieval process for retrieving the similar semantics images.

Key words: content-based image retrieval, complex networks, small world network, semantics saving