Relevant feedback retrieval method based on clustering in network image search

The invention relates to a related feedback retrieval method based on clustering in a network image search, which belongs to the technical field of computer multimedia. The method includes: a user firstly inputs one or a plurality of key words and uses a retrieval tool based on the key words to obtain and return the retrieval result of the images in the first round; the retrieved first n images are clustered according to bottom characteristics and clustered image packages are shown to the user; the user marks the image packages; and the images of the retrieval result in the first round are scheduled according to the marks and the new retrieval results after being scheduled are shown to the user. The method optimizes the picture retrieval function of a present network image search engine, improves the retrieval accuracy and simultaneously can be widely applied to the retrieval of other image databases beyond the network.