A Survey of Image Retrieval Techniques for Search Engine PDFMohammad Al Oudat, Miad FaezipourWith the emergence of the latest progression of the World Wide Web, a tremendous need has arisen for efficient retrieval and extraction of information. The development of image retrieval and media extraction mechanisms is of paramount significance for storing, transmitting, generating, analyzing and accessing multimedia. Color, texture, shapes and spatial layout are the core characteristics used to signify and catalog the images. These odd features of images are extracted to assess the similarity of the images in several applications, particularly airport security checks and immigration processing. To extract useful information from this notably large amount of data, several information and image retrieval approaches have been introduced in recent decades. In this paper, we present a comprehensive survey of the latest technical accomplishments in image retrieval and extraction, especially for search engine applications. This survey covers well-known approaches from 2007 to 2014.
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