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Nowadays, Content-Based Image Retrieval has been the mainstay of image retrieval both in fields of research and application. To attain optimal retrieval results, relevance feedback (RF) methods are incorporated into CBIR by taking user's feedbacks into account. However, explicit RF methods rely heavily on active user engagement during search sessions, which is unrealistic in real applications. This paper presents an implicit RF method, Preference Estimation-based RF (PERF) for CBIR. PERFdoi:10.7763/lnse.2013.v1.72 fatcat:pkzbmfgbpbdq7lmdbqc4kihlti