Abstract
In this chapter, we discuss relevance feedback technologies in content-based image retrieval systems. We firstly introduce the need and concept of relevance feedback technologies in content-based image retrieval systems. Then, key issues in relevance feedback as a learning process as well as a set of commonly used relevance feedback algorithms are reviewed in Section 3.2. After that, a framework for integrated relevance feedback and semantic learning in content-based retrieval is described in Section 3.3. Section 3.4 discusses some remaining research problems in relevance feedback for content-based image retrieval.
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Zhang, H. (2003). Relevance Feedback in Content-Based Image Retrieval. In: Feng, D.D., Siu, WC., Zhang, HJ. (eds) Multimedia Information Retrieval and Management. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05300-3_3
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DOI: https://doi.org/10.1007/978-3-662-05300-3_3
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