Document (#35884)

Author
Castelli, V.
Title
Still image search and retrieval
Source
Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates
Imprint
London : Taylor & Francis
Year
2009
Pages
S.xx-xx
Abstract
We describe approaches and techniques for indexing and retrieving still images from multimedia databases. We specifically emphasize content-based image retrieval (CBIR), a class of techniques where the user composes queries that specify the content of the desired images. After a brief overview of digital image formats, we analyze different approaches to content specification: in terms of low-level visual features, of objects, and of metadata. We then describe a general progressive framework that combines these approaches. We finally conclude the entry with an overview of common applications of image repositories and digital libraries, such as medical imaging, remote-sensing imaging, and data for the oil industry.
Footnote
Vgl.: http://www.tandfonline.com/doi/book/10.1081/E-ELIS3.
Form
Bilder
Object
CBIR

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  5. Martín-Valdivia, M.T.; Díaz-Galiano, M.C.; Montejo-Raez, A.; Ureña-López, L.A.: Using information gain to improve multi-modal information retrieval systems (2008) 0.25
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