Semi-Automatic Semantic Based Natural Images Retrieval System (original) (raw)

2016

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, foliage, rocks,..., and Grass). The results of the paper reflects the efficiency of the system for retrieving images with up to 98% recognition ratio.

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