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Automatic Image Annotation and Retrieval

http://hdl.handle.net/20.500.12678/0000004284
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eabdd878-9dcc-4eff-b94a-f420f0cdb215
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9068.pdf 9068.pdf (283 Kb)
Publication type
Article
Upload type
Publication
Title
Title Automatic Image Annotation and Retrieval
Language en
Publication date 2011-05-05
Authors
Yu, May The
Sein, Myint Myint
Description
In this paper, an automatic imageannotation and retrieval model is developed baseon the intensity invariant approach. The givenuncaptioned image is divided into backgroundand foreground images and segmented intoregions, which are classified into region typesusing a variety of features. Firstly, preprocessingstages such as gray-scale converting, noisefiltering for image enhancing is processed. Aftersegmentation, calculate the eigenvectors ofimages and examined the associated word byusing database. The various types of images areapplied for training and testing. The top wordsare described for annotated image in result.Manual image annotation is time-consuming,laborious and expensive; so, there has been alarge amount of research done on automaticimage annotation and retrieval technologies arecombined to improve the performance.
Keywords
Automatic image annotation, image retrieval
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/216
Journal articles
Ninth International Conference On Computer Applications (ICCA 2011)
Conference papers
Books/reports/chapters
Thesis/dissertations
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