http://blogs.technet.com/adlab/archive/tags/product+categorization/default.aspxTags: product categorizationen-USCommunityServer 2.1 SP1 (Build: 61025.2)http://blogs.technet.com/adlab/archive/2008/10/18/visual-product-categorization-and-browsing.aspxSat, 18 Oct 2008 03:54:00 GMTd5e57398-b9ef-4490-9955-07cbb4e4a80d:3138216adCenterLabs1http://blogs.technet.com/adlab/comments/3138216.aspxhttp://blogs.technet.com/adlab/commentrss.aspx?PostID=3138216<P class=MsoNormal style="MARGIN: 0in 0in 10pt"><SPAN style="FONT-SIZE: 10pt; LINE-HEIGHT: 115%">We have released <A href="http://adlab.microsoft.com/Vnext/Visual-Product-Browsing/" mce_href="http://adlab.microsoft.com/Vnext/Visual-Product-Browsing/"><FONT face=Arial>Visual Product Browsing</FONT></A><FONT face=Arial> tool&nbsp;that uses computer vision algorithms to browse and categorize images as a human might, without the need for manual data tagging. Online shoppers could use this technology to visually browse categorized product images and narrow their search to find 'more like this' options. This project addresses the problem of reaching the target audience for advertisers whose products are buried inside a large categorized product database. The product images are retrieved based on attributes such as text and color and arranged into a hierarchical structure for more efficient browsing based on visual similarity.<?xml:namespace prefix = o ns = "urn:schemas-microsoft-com:office:office" /><o:p></o:p></FONT></SPAN></P> <P class=MsoNormal style="MARGIN: 0in 0in 10pt"><SPAN style="FONT-SIZE: 10pt; LINE-HEIGHT: 115%"><FONT face=Arial>Please give us your feedback about these tools by </FONT><A href="mailto:adlabfdb@microsoft.com" mce_href="mailto:adlabfdb@microsoft.com"><FONT face=Arial color=#0000ff>contacting us</FONT></A><FONT face=Arial>.<o:p></o:p></FONT></SPAN></P><img src="http://blogs.technet.com/aggbug.aspx?PostID=3138216" width="1" height="1">product categorization