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Automatic Image Annotation and Retrieval
http://hdl.handle.net/20.500.12678/0000004284
http://hdl.handle.net/20.500.12678/0000004284b9195b12-a711-45be-8dbd-c7c991554d98
eabdd878-9dcc-4eff-b94a-f420f0cdb215
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9068.pdf (283 Kb)
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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 |