Content-Free Image Retrieval using Bayesian Product Rule

Content-free image retrieval uses accumulated user feedback records to retrieve images without analyzing image pixels. We present a Bayesian-based algorithm to analyze user feedback and show that it outperforms a recent maximum entropy content-free algorithm, according to extensive experiments on trademark logo and 3D model datasets. The proposed algorithm also has the advantage of being applicable to both content-free and traditional content-based image retrieval, thus providing a common framework for these two paradigms.

• Type: Conference
• Year: 2006
• Where: ICMCS
• Authors: David Liu, Tsuhan Chen
• Keywords: Content-free Image Retrieval, Entropy Content-free Algorithm, ICMCS 2006, User Feedback