Researchers teach computers to search for photos based on their contents

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	Researchers teach computers to search for photos based on their contents

tabsey

10-9-2008 4:51 AM

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tags:

computers

tabsey says:

One could imagine some very "job specific" details being used. Type in slime ball and see who comes up.

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<div style="margin: 12px 0px; font-family: arial; color: #333333; background: #ffffff; border: solid 4px #e5e5e5; width: 100%; clear: left;"><div class="CM_CTB_Content_Wrap" style="margin: 0px; padding: 0px;background-color: #ffffff;"><div style="border-bottom: solid 1px #dcdcdc; white-space: nowrap; margin-bottom: 8px; background-color: #eeeeee ;background-image: url(http://clipmarks.com/images/source-bg.gif); background-repeat: repeat-x; height: 24px; line-height: 24px; vertical-align: middle; padding-bottom: 4px; color: #666666; font-size: 10px;" ><a href="http://clipmarks.com/clip-to-blog/" title="see clips that are hot right now"><img src="http://content.clipmarks.com/blog_embed/649de8dd-b87c-4e08-86d1-be1e5e781e85/46DC8E7F-AE83-4BF4-856E-1B392DD760C7/" alt="" width="19" height="19" border="0" style="vertical-align: middle; margin: 0px 4px; display: inline; border: none; float:none;" /></a>clipped from <a title="http://www.eurekalert.org/pub_releases/2008-10/ps-rtc100808.php" href="http://www.eurekalert.org/pub_releases/2008-10/ps-rtc100808.php" style="font-size: 11px;">www.eurekalert.org</a></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.eurekalert.org/pub_releases/2008-10/ps-rtc100808.php"><P>A pair of Penn State researchers has developed a statistical approach, called Automatic Linguistic Indexing of Pictures in Real-Time (ALIPR), that one day could make it easier to search the Internet for photographs.  The public can participate in improving ALIPR's accuracy by visiting a designated Web site <A href="http://www.alipr.com">http://www.alipr.com</A>, uploading photographs, and evaluating whether the keywords that ALIPR uses to describe the photographs are appropriate.</P></blockquote><div style="height: 2px; font-size: 2px; background: #dcdcdc; border-bottom: solid 1px #f5f5f5; margin: 2px 4px;"></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.eurekalert.org/pub_releases/2008-10/ps-rtc100808.php"><P>ALIPR works by teaching computers to recognize the contents of photographs, such as buildings, people, or landscapes, rather than by searching for keywords in the surrounding text, as is done with most current image-retrieval systems.  The team recently received a patent for an earlier version of the approach, called ALIP, and is in the process of obtaining another patent for the more sophisticated ALIPR.  They hope that eventually ALIPR can be used in industry for automatic tagging or as part of Internet search engines.</P></blockquote></div><div style="margin: 0px 6px 6px 4px;"><table style="font-size: 11px;border-spacing: 0px;padding: 0px;" cellpadding="0" cellspacing="0" width="100%"><tr><td style="background:transparent;border-width:0px;padding:0px;">&nbsp;</td><td align="right" style="background:transparent;border-width:0px;padding:0px;width:107px" width="107"><a href="http://clipmarks.com/share/46DC8E7F-AE83-4BF4-856E-1B392DD760C7/blog/" title="blog or email this clip"><img src="http://content9.clipmarks.com/images/c2b-foot.png" border="0" alt="blog it" width="107" height="17" style="border-width:0px;padding:0px;margin:0px;" /></a></td></tr></table></div></div>

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