Abstract
Content-based image retrieval (CBIR) and image semantic classification are both active research fields. They are interrelated topics within computer vision. CBIR is a technique for retrieving relevant images from an image database on the basis of automatically-derived image features. Image semantic classification is a technique for classifying images based on their semantics. Semantically-adaptive searching methods applicable to each category can then be applied. In this chapter, we review the related work in content-based image retrieval and image semantic classification, and also provide examples of their biomedical applications.
It’s kind of fun to do the impossible. — Walter E. Disney (1901–1966)
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Defined as the ratio of standard deviation to mean.
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© 2001 Springer Science+Business Media New York
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Wang, J.Z. (2001). Background. In: Integrated Region-Based Image Retrieval. The Information Retrieval Series, vol 11. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1641-5_2
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DOI: https://doi.org/10.1007/978-1-4615-1641-5_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5655-4
Online ISBN: 978-1-4615-1641-5
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