Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/1003| Title: | A Review on Image Annotation Generation |
| Authors: | Aher, A. S. Kamlapurkar, S. M. |
| Keywords: | Community detection, co-occurrence model, feature extraction, image annotation, semantic descriptors. |
| Issue Date: | Dec-2017 |
| Publisher: | International Journal for Research in Applied Science & Engineering Technology |
| Abstract: | Image 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. |
| URI: | http://192.168.3.232:8080/jspui/handle/123456789/1003 |
| ISSN: | 2321-9653 |
| Appears in Collections: | PG - Students |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| document-4.pdf | A Review on Image Annotation Generation | 238.15 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.