أعضاء هيئة التدريس - جامعة بنها
Semi-Automatic Semantic Based Natural Images Retrieval System
Proceedings of the 10th International Conference on Informatics and Systems • 2016
معلومات البحث
المؤلفون
Doaa M Alebiary, Noura A Semary, Hala H Zayed
الكلمات المفتاحية
Semantics, Big Data , image Retrieval
المجلة العلمية
Proceedings of the 10th International Conference on Informatics and Systems
الناشر
ACM
المجلد
Not Available
العدد
Not Available
الصفحات
323-324
publication.type
International
رابط البحث
Open Link
المواد المرفقة
Not Available
الملخص
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,