Apply semantic template to support content-based image retrieval
Yueting Zhuang, Xiaoming Liu, Yunhe Pan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1999
Content-based multimedia information retrieval is the hot point of researchers in many domains. But traditional feature vector based retrieval method can not provide retrieval on the semantic template automatically in the process of relevance feedback, and construct a network of semantic template with the support of WordNet in the retrieval process, which helps the user to do retrieval on the semantic level. By our approach, in the keyword query of the user, relevant images will be returned to the user by the help of semantic template association even those images are not annotated by keyword. This paper introduces this approach in detail and present an experiment result at the end of this paper.