| publication name | Semi-Automatic Semantic Based Natural Images Retrieval System |
|---|---|
| Authors | Doaa M Alebiary, Noura A Semary, Hala H Zayed |
| year | 2016 |
| keywords | Semantics, Big Data , image Retrieval |
| journal | Proceedings of the 10th International Conference on Informatics and Systems |
| volume | Not Available |
| issue | Not Available |
| pages | 323-324 |
| publisher | ACM |
| Local/International | International |
| Paper Link | http://dl.acm.org/citation.cfm?id=2908503 |
| Full paper | download |
| Supplementary materials | Not Available |
Abstract
Content-based Image Retrieval (CBIR) is a term referring to looking for digital images by analyzing content of images rather than its metadata. CBIR system retrieves the image via low-level features such as color, texture and shape. In this work, we propose an improved CBIR system that retrieves images from a database based on the semantic features of them. The methodology that divide image and extracts low-level features from each region and label each one with the suitable concept (Sky, Sand, Water, trunks,