SVM-based Relevance Feedback in Image Retrieval using Invariant Feature Histograms
نویسندگان
چکیده
Relevance Feedback is an interesting procedure to improve the performance of Content-Based Image Retrieval systems even when using low-level features alone. In this work we compare the efficiency of one class and two class Support Vector Machines in content-based image retrieval using Invariant Feature Histograms. We describe our methodology of performing Relevance Feedback in both cases and report encouraging results on a subset of MPEG-7 content dataset.
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تاریخ انتشار 2005