Volume & Issue no: Volume 4, Issue 4, July - August 2015
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Title: |
A Survey of Similarity Measures in Web Image Search
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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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