Staff Members - Benha University
Semi-Automatic Semantic Based Natural Images Retrieval System
Proceedings of the 10th International Conference on Informatics and Systems • 2016
Publication Information
Authors
Doaa M Alebiary, Noura A Semary, Hala H Zayed
Keywords
Semantics, Big Data , image Retrieval
Journal
Proceedings of the 10th International Conference on Informatics and Systems
Publisher
ACM
Volume
Not Available
Issue
Not Available
Pages
323-324
publication.type
International
Paper Link
Open Link
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,
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,