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Some Objects Are More Equal Than Others: Measuring and Predicting Importance

Spain, Merrielle and Perona, Pietro (2008) Some Objects Are More Equal Than Others: Measuring and Predicting Importance. In: Computer Vision – ECCV 2008. Lecture Notes in Comptuer Science. Vol.1. No.5302. Springer , Berlin, pp. 523-536. ISBN 978-3-540-88681-5. https://resolver.caltech.edu/CaltechAUTHORS:20140730-101716572

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Abstract

We observe that everyday images contain dozens of objects, and that humans, in describing these images, give different priority to these objects. We argue that a goal of visual recognition is, therefore, not only to detect and classify objects but also to associate with each a level of priority which we call 'importance'. We propose a definition of importance and show how this may be estimated reliably from data harvested from human observers. We conclude by showing that a first-order estimate of importance may be computed from a number of simple image region measurements and does not require access to image meaning.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://link.springer.com/chapter/10.1007%2F978-3-540-88682-2_40PublisherChapter
http://dx.doi.org/10.1007/978-3-540-88682-2_40DOIChapter
ORCID:
AuthorORCID
Perona, Pietro0000-0002-7583-5809
Additional Information:© Springer 2008. This material is based up on work supported under a National Science Foundation Graduate Research Fellowship, National Institute of Mental Health grant T32MH019138, Office of Naval Research grant N00014-06-1-0734, and National Institutes of Health grant R01 DA022777. We would like to thank Antonio Torralba for insightful discussions and Ryan Gomes and Kristin Branson for useful corrections.
Funders:
Funding AgencyGrant Number
NSF Graduate Research FellowshipUNSPECIFIED
NIH Predoctoral FellowshipT32MH019138
Office of Naval Research (ONR)N00014-06-1-0734
NIHR01 DA022777
Subject Keywords:Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Computer Graphics Pattern Recognition Data Mining and Knowledge Discovery Computer Appl. in Arts and Humanities
Series Name:Lecture Notes in Comptuer Science
Issue or Number:5302
Record Number:CaltechAUTHORS:20140730-101716572
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20140730-101716572
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:47593
Collection:CaltechAUTHORS
Deposited By: Caroline Murphy
Deposited On:25 Aug 2014 21:41
Last Modified:03 Oct 2019 06:55

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