<?xml version="1.0" encoding="utf-8"?><rss version="2.0"><channel><title>RSS for Image retrieval based on content and image compression</title><link>http://academic.research.microsoft.com/Rss.aspx?cata=9&amp;id=51112067</link><description>Search RSS feed for Microsoft Academic Search</description><generator>MSRA Libra RSS Burner</generator><copyright>(c)2008 Microsoft Corpration, All right reserved.</copyright><pubDate>Mon, 20 May 2013 02:31:13 GMT</pubDate><lastBuildDate>Mon, 20 May 2013 02:31:13 GMT</lastBuildDate><category /><item><title>Image retrieval based on content and image compression</title><link>http://academic.research.microsoft.com/Publication/51112067</link><pubDate>Sun, 19 May 2013 19:31:13 GMT</pubDate><guid isPermaLink="false">511120670</guid><description><![CDATA[<div><a href="http://academic.research.microsoft.com/Author/54727208">Aly S. Abdelrahim</a>, <a href="http://academic.research.microsoft.com/Author/54651381">Mostafa A. Abdelrahman</a>, <a href="http://academic.research.microsoft.com/Author/52785673">Ali Mahmoud</a>, <a href="http://academic.research.microsoft.com/Author/1434768">Aly A. Farag</a>:
            
            <span style="margin-left:20px" /><span style="margin-left:20px"><a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06002070">view publication</a></span></div><div>Content-based <a href='http://academic.research.microsoft.com/Keyword/19131/image-retrieval'>image retrieval</a>  systems have become a reliable tool for many <a href='http://academic.research.microsoft.com/Keyword/19089/image-database'>image database</a>  applications. There are several advantages of the <a href='http://academic.research.microsoft.com/Keyword/19131/image-retrieval'>image retrieval</a>  techniques compared to other simple retrieval approaches such as text-based retrieval techniques. This paper proposes an <a href='http://academic.research.microsoft.com/Keyword/19131/image-retrieval'>image retrieval</a>  technique that can be used for retrieving color images. In this paper, we propose two variations of an image abstraction technique based on signature bitstrings and an appropriate similarity metric. The technique provides a <a href='http://academic.research.microsoft.com/Keyword/6732/compact-representation'>compact representation</a>  of an image based on its color content and yields better retrieval effectiveness than classical techniques based on the images’ global color histograms (GCHs). The proposed technique has many applications. These applications are described in details in this paper.</div><div>Conference: <a href="http://academic.research.microsoft.com/Conference/4483">International Conference on Multimedia Technology - ICMT</a>, 2011</div><div></div><div />]]></description></item></channel></rss>