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Feature Extraction for Content-Based Image Retrieval

Chapter
Publication Date:
2017
abstract:
Feature extraction for content-based image retrieval is the process of automatically computing a compact representation of some attribute of digital images, to be used to derive information about image contents. Feature extraction is a fundamental task for any application requiring the analysis of images, as cultural heritage services, digital catalogs, surveillance, etc.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
content base retrieval; database; information retrieval; image indexing
List of contributors:
Gagliardi, Isabella
Authors of the University:
GAGLIARDI ISABELLA
Handle:
https://iris.cnr.it/handle/20.500.14243/328035
Book title:
Encyclopedia of Database Systems
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URL

http://dx.doi.org/10.1007/978-1-4899-7993-3_162-2
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