þÿ<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en"> <head><title>Abstract: Natural Scene Categorization from the Conjunction of Ecological Global Properties</title> <link rel="stylesheet" type="text/css" href="abstract.css"/> <meta http-equiv='Content-Type' content='text/html; charset=iso-8859-1'/> <style type="text/css"> table#abstracttable {border-left: double black; border-top: solid black; margin-top: 40px; width: 700px; font-family: verdana; margin-left: 40px; } #title {padding-left: 30px; font-size: 20px; font-weight: 100; color: #000033; padding-top: 25px; padding-right: 20px; font-family: verdana; } td#subtitle {font-family: verdana; font-size: 18px; font-weight: 100; color: #000033; margin-bottom: 0px; margin-top: 0px; padding-top: 10px; padding-left: 30px; } #author {font-weight: 100; color: #000033; margin-bottom: 0px; margin-left: 0px; margin-top: 0px; padding-top: 10px; padding-left: 30px; border-bottom: solid black 1px; padding-bottom: 20px; font-size: 15px; font-family: verdana; } .status {font-size: 15px; font-style: italic; } #abstract {font-size: 13px; padding-left: 40px; padding-right: 40px; padding-top: 30px; padding-bottom: 20px; line-height: 25px; border-bottom: solid black; margin-bottom: 3px; color: #333333; } #links {background-color: #000033; padding-top: 5px; padding-bottom: 5px; margin-top: 0px; } #links a {padding-left: 30px; padding-top: 10px; padding-bottom: 10px; text-decoration: none; margin-top: 10px; color: #AAAAAA; font-size: 14px; } td#links a:hover {color: #CCCC88; } </style> </head> <body> <table id="abstracttable"><tr><td id="title">Natural scene categorization from the conjunction of ecological global properties. </td></tr> <tr><td id="subtitle"> Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society, 291-296.</td></tr> <tr><td id="author">Greene, M.R., &amp; Oliva, A. (2006). </td></tr> <tr><td id="abstract"> Human scene understanding is remarkable: with only a brief glance at an image, an abundance of information is available -spatial layout, scene function, semantic label, etc. Here we propose a scene-centered model of rapid human scene understanding that uses a vocabulary of global, ecological scene properties that combine to categorize natural landscape images.¾ Behaviorally, we show human observers are sensitive to the underlying distributions of these global properties for use in basic-level categorization.¾ An ideal observer trained only on the distributions of these properties predicts human scene categorization performance (r=0.90) and human errors. </td></tr> <tr><td id="links"><a href="http://cvcl.mit.edu/Papers/GreeneOlivaCogSci06.pdf" class="pdf" target="new">article</a><a href="http://cvcl.mit.edu/Papers/VSS06_GreeneOliva_GlobalProerties.pdf" class="poster" target="new">poster</a> </td></tr> </table> </body> </html>