Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9403
Title: Image retrieval: Modelling keywords via low-level features
Authors: Theodosiou, Zenonas 
Major Field of Science: Social Sciences
Field Category: Media and Communications
Keywords: Features and Image Descriptors;Image Modelling;Classification and Clustering;Indexing, Retrieval
Issue Date: 2015
Source: Electronic Letters on Computer Vision and Image Analysis, 2015, vol. 14, no. 3, pp. 21-23.
Volume: 14
Issue: 3
Start page: 21
End page: 23
DOI: 10.5565/rev/elcvia.725
Journal: Electronic Letters on Computer Vision and Image Analysis, 
Abstract: With the advent of cheap digital recording and storage devices and the rapidly increasing popularity of online social networks that make extended use of visual information, like Facebook and Instagram, image retrieval regained great attention among the researchers in the areas of image indexing and retrieval. Image retrieval methods are mainly falling into content-based and text-based frameworks. Although content-based image retrieval has attracted large amount of research interest, the difficulties in querying by an example propel ultimate users towards text queries. Searching by text queries yields more effective and accurate results that meet the needs of the users while at the same time preserves their familiarity with the way traditional search engines operate. However, text-based image retrieval requires images to be annotated i.e. they are related to text information. Much effort has been invested on automatic image annotation methods [1], since the manual assignment of keywords (which is necessary for text-based image retrieval) is a time consuming and labour intensive procedure [2].
URI: https://hdl.handle.net/20.500.14279/9403
ISSN: 15775097
DOI: 10.5565/rev/elcvia.725
Rights: © 2015 Zenonas Theodosiou
Attribution-NonCommercial-NoDerivs 3.0 United States
Type: Article
Affiliation : Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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