ImageSeeker: a content-based image retrieval system
A.A. Tawfik, HebatAllah Fouad, Reem Adel A. Megahed, Samar Mohamed, Elsayed E. Hemayed · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
In many areas of commerce, government, academia, and medicine, large collections of digital images are being used. Usually, the only way of searching these collections is by their name, or by browsing which is unpractical for large number of images. ImageSeeker aims at providing an improved technique to enhance image searching. It focuses on extracting visual contents from images and annotating them; it is based on the concept of CBIR (Content Based Image Retrieval) to retrieve the contents of the image based on what it has learnt during past trainings. When a user requests an image for a certain object, all images containing the same object will show up. ImageSeeker maintains high accuracy in finding matching results to the user's query. The system was tested on images containing natural scenes, specifically, see, sand, grass, clouds and sky.