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Ass. Lect. Doaa Mohammed Ibrahem Al Ebiary :: Publications: |
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| Title: | 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: | |
| Full paper | Not Available |
| 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, |
