Navigation Based Relevance Feedback in Content Based Image Retrieval

Accuracy enhancement of Content Based Image Retrieval System as well as reduction in semantic gap can be efficiently achieved with the help of Relevance Feedback. Many schemes and techniques of relevance feedback exist with many assumptions and operating criteria. This paper focuses on a novel method, Navigation-Pattern-based Relevance Feedback (NPRF), which can be used to achieve high efficiency and effectiveness of CBIR while coping with the large-scale image data. By using NPRF method, high quality of image retrieval on RF can be achieved in a small number of feedbacks. It mainly applies data mining techniques to mine the navigation patterns from the user log information and incorporates the same while further searching for the relevant images.

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