A Survey of Similarity Measures in Web Image Search

Abstract The rapid development of internet has brought explosive growth in information of World Wide Web. Searching for images of people is an essential task for image and video search engines. However, current search engines have limited capabilities for this task since they rely on text associated with images and video, and such text is likely to return many irrelevant results. Large-scale face image retrieval is the enabling technology behind the next generation search engines (search beyond words), by which web users can do social search with personal photos. This paper surveys various methods of similarity measurements used for image retrieval techniques and face recognition applications. Each method is differentiated with other surveyed method and comparative measures of methods are presented which provides the significance and limitations of web image retrieval techniques with correspond to query.