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What and Who
Title:Prediction of search targets from fixations in open-world settings
Speaker:Hosnieh Sattar
coming from:Max-Planck-Institut für Informatik - D2
Speakers Bio:Student Research Assistant at MPI-INF
Event Type:PhD Application Talk
Visibility:D1, D2, D3, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Date, Time and Location
Date:Monday, 23 February 2015
Duration:120 Minutes
Building:E1 4
Previous work on predicting the target of visual search from human fixations only considered closed-world settings in which training labels are available and predictions are performed for a known set of potential targets. In this work we go beyond the state-of-the-art by studying search target prediction in an open-world setting. To this end, we present a dataset containing fixation data of 18 users searching for natural images from three image categories within image collages of about 80 images. In a closed-world baseline experiment we show that we can predict the correct mental image out of a candidate set of five images. In an open-world experiment we no longer assume potential search targets to be part of the training set and we also no longer assume that we have fixation data for these targets. We present a new problem formulation for search target recognition in the open-world setting, which is based on learning compatibilities between fixations and potential targets.
Name(s):IMPRS-CS Office
Phone:0681 9325 1800
EMail:--email address not disclosed on the web
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Created by:Stephanie Jörg/MPI-INF, 02/20/2015 08:30 AMLast modified by:Uwe Brahm/MPII/DE, 11/24/2016 04:13 PM
  • Stephanie Jörg, 02/20/2015 09:00 AM
  • Stephanie Jörg, 02/20/2015 08:47 AM -- Created document.