Please use this identifier to cite or link to this item:
https://dspace.univ-ouargla.dz/jspui/handle/123456789/18966
Title: | Automatic Image Annotation (AIA) |
Authors: | Oussama, AIADI Yasmina, BENYAZA |
Keywords: | Automatic image annotation (AIA) Gaussian Mixture Model (GMM) feature extraction. |
Issue Date: | 18-Sep-2018 |
Abstract: | Image annotation an important research topic in the image retrieval field, where it is used to assign a specific words to image that describing their content. However, manual image annotation is no longer effective because it is tired and costly, so automatic image annotation becomes an alternative. In this thesis, we propose an approach for automatic image annotation based on probabilities. For a given concept, we associate the concept with a set of similar images. Then, we extracted a set of features from training images, thereafter we applied the Gaussian Mixture Model (GMM) to model the concept. We assign each image with 5 labels. The experimental results showed the effectiveness of the proposed approach as well as its superiority over other methods |
Description: | University of Kasdi Merbah, Ouargla Faculty of New Information and Communication Technologies Department of Computer Science and Information Technology |
URI: | http://dspace.univ-ouargla.dz/jspui/handle/123456789/18966 |
Appears in Collections: | Département d'informatique et technologie de l'information - Master |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
BENYAZA Yasmina.pdf | 1,43 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.