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Image Matching for Image Labeling System

http://hdl.handle.net/20.500.12678/0000004499
2fad4b37-d8fe-4749-8700-e121f16a67ed
1d819a90-c329-488e-afd9-85a8ccdc0175
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10079.pdf 10079.pdf (574 Kb)
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Article
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Publication
Title
Title Image Matching for Image Labeling System
Language en_US
Publication date 2012-02-28
Authors
Yu, May The`
Sein, Myint Myint
Description
Interest in the potential of digital images hasincreased enormously over the last few years,fuelled at least in part by the rapid growth ofimaging on the World-Wide Web. Automaticallyassigning keywords to images is of great interestas it allows one to retrieve, index, and organizeand large collections of image data. Manytechniques have been proposed for imageannotation in the last decade that givesreasonable performance on standard datasets.However, most of these works fail to comparetheir methods with simple baseline techniques tojustify the need for complex models andsubsequent training. To segment input image, NCut algorithms are used in this system. In thispaper, the image database is created by usingsegmented parts of an image, nature scene,animals, vegetables, buildings and so on.
Keywords
Image Segmentation, Image Database, Annotation
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/2426
Journal articles
Tenth International Conference On Computer Applications (ICCA 2012)
Conference papers
Books/reports/chapters
Thesis/dissertations
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