Title :
Content-Based Image Retrieval using combined features and weighted similarity
Author :
El-Kholy, Ahmed Hosny ; Abdel-Haleim, Ahmed Mahmoud ; Hedar, Abdel-Rahman
Author_Institution :
Dept. of Comput. Sci., Assiut Univ., Assiut, Egypt
Abstract :
The process of retrieving desired images from a large collection of images on the web pages on the basis of features is referred as Content Based Image Retrieval (CBIR) Search Engine. In this paper, a new CBIR search engine is proposed using combined of two features and weighted similarity. Some experimental simulations have been presented to show the efficiency of the proposed search engine.
Keywords :
Internet; content-based retrieval; image retrieval; search engines; Web pages; content based image retrieval; search engine; Clocks; Crawlers; CBIR; Clustering; Image Search; Search Engine; component;
Conference_Titel :
Computer Technology and Development (ICCTD), 2010 2nd International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-8844-5
Electronic_ISBN :
978-1-4244-8845-2
DOI :
10.1109/ICCTD.2010.5645979
