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Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1003
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dc.contributor.authorAher, A. S.-
dc.contributor.authorKamlapurkar, S. M.-
dc.date.accessioned2018-05-30T10:18:05Z-
dc.date.available2018-05-30T10:18:05Z-
dc.date.issued2017-12-
dc.identifier.issn2321-9653-
dc.identifier.urihttp://192.168.3.232:8080/jspui/handle/123456789/1003-
dc.description.abstractImage annotation, tagging, semantic descriptors are used to search an image from large image dataset. To search similar image, low level feature matching is used. In text based image search process image tags, annotations or image semantics are used. Annotation can be generated using manual, semi-automatic or automatic process. The manual and semiautomatic annotations are time consuming. In automatic image annotation, tag is automatically assigned to an image. There are various techniques for annotation generation. This work aims to study various image annotations generation, image matching and image searching techniques based on execution strategies and efficiency evaluation.en_US
dc.publisherInternational Journal for Research in Applied Science & Engineering Technologyen_US
dc.subjectCommunity detection, co-occurrence model, feature extraction, image annotation, semantic descriptors.en_US
dc.titleA Review on Image Annotation Generationen_US
dc.typeArticleen_US
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