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Fundamentals of Content-Based Image Retrieval

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Multimedia Information Retrieval and Management

Part of the book series: Signals and Communication Technology ((SCT))

Abstract

We introduce in this chapter some fundamental theories for content-based image retrieval. Section 1.1 looks at the development of content-based image retrieval techniques. Then, as the emphasis of this chapter, we introduce in detail in Section 1.2 some widely used methods for visual content descriptions. After that, we briefly address similarity/distance measures between visual features, the indexing schemes, query formation, relevance feedback, and system performance evaluation in Sections 1.3, 1.4 and 1.5. Details of these techniques are discussed in subsequent chapters. Finally, we draw a conclusion in Section 1.6.

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Authors
  1. Dr. Fuhui Long
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  2. Dr. Hongjiang Zhang
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  3. Prof. David Dagan Feng
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Editors and Affiliations

  1. Centre for Multimedia Signal Processing, The Hong Kong Polytechnic University, China

    David Dagan Feng PhD  & Wan-Chi Siu PhD  & 

  2. School of Information Technologies, The University of Sydney, Australia

    David Dagan Feng PhD

  3. Microsoft Research, Asia, China

    Hong-Jiang Zhang PhD

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Long, F., Zhang, H., Feng, D.D. (2003). Fundamentals of 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_1

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