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In today's web image search engines find more irrelevancies in the search result. By adding semantic meaning to the document this relevancy can be eliminated. SIEVE image search algorithm combine the text based and content based method and shows the result. Also "IN-Picture" search algorithm mixing the images higher level and lower level contents. In this paper it shows some image searching framework like "SAFE" describe how image are searched using its attributes. Also describes some sematicfatcat:uzudij34fzextllfsdqcxp5khq