New CBIR system based on the affinity propagation clustering algorithm
Xiang Pei-su · jOURNAL OF southwest University for Nationalities · 2010
To solve the semantic gap in the Content-Based Image Retrieval System,the paper proposes a CBIR model.The Affinity Propagation Clustering Algorithm and semantic propagation algorithm are applied in the model.The Affinity Semi-Supervised Clustering Algorithm clustered the image in the image library.Similarity retrieval in the cluster is carried out through vision feature of the sample image.Keyword retrieval in the retrieval results is carried out through the referring to the keyword.Automatic semantic annotation is realized through semantic propagation.The experimental results indicate the validity of the model and the retrieval effectiveness is affected by the time of feedback.