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Volume & Issue no: Volume 4, Issue 4, July - August 2015

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Title:
A Survey of Similarity Measures in Web Image Search
Author Name:
Yossra H. Ali, Wathiq N. Abdullah
Abstract:
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. Keywords: similarity Measures, Hamming distance, Image search.
Cite this article:
Yossra H. Ali, Wathiq N. Abdullah , " A Survey of Similarity Measures in Web Image Search " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 4, Issue 4, July - August 2015 , pp. 191-196 , ISSN 2278-6856.
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NOTE: Authors note that paper cannot be withdrawn at any condition once it is accepted. The Team of IJETTCS advise you, do not submit same article to the multiple journals simultaneously. This may create a problem for you. Please wait for review report which will take maximum 01 to 02 week. 

 

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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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