作者: Zhenwei Li , Jing Zhang , Xin Liu , Li Zhuo
关键词:
摘要: For the network environment with limited transmission capacity, a multi-nodes image retrieval method based on visual words is proposed. Firstly, of query are built by using K-means clustering after color features and SIFT extracted. Then visual-words histogram carried mobile Agent. The similarity in each node measured Euclidean distance. results returned to user. Finally weight-based relevance feedback utilized optimize retrieved results. Experimental show that proposed can improve speed accuracy retrieval.