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Unsupervised Learning of Categorical Segments in Image Collections

Andreetto, Marco and Zelnik-Manor, Lihi and Perona, Pietro (2012) Unsupervised Learning of Categorical Segments in Image Collections. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34 (9). pp. 1842-1855. ISSN 0162-8828. https://resolver.caltech.edu/CaltechAUTHORS:20120731-101604181

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Abstract

Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a flexible probabilistic model, for representing the shape and appearance of each segment, with the popular "bag of visual words" model for recognition. If applied to a collection of images, our framework can simultaneously discover the segments of each image and the correspondence between such segments, without supervision. Such recurring segments may be thought of as the "parts" of corresponding objects that appear multiple times in the image collection. Thus, the model may be used for learning new categories, detecting/classifying objects, and segmenting images, without using expensive human annotation.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/TPAMI.2011.268DOIArticle
ORCID:
AuthorORCID
Perona, Pietro0000-0002-7583-5809
Additional Information:© 2012 IEEE. Manuscript received 12 Dec. 2009; revised 23 Nov. 2010; accepted 22 Nov. 2011; published online 22 Dec. 2011. Recommended for acceptance by S. Belongie. Date of Publication: 27 December 2011. Date of Current Version: 23 July 2012. The authors would like to thank Greg Griffin and Kristin Branson for reviewing the manuscript and giving many important suggestions for improving it. Funding for this research was provided by ONR-MURI Grant N00014-06-1-0734. Lihi Zelnik-Manor is supported by FP7-IRG grant 2009783.
Funders:
Funding AgencyGrant Number
Office of Naval Research (ONR)N00014-06-1-0734
European Research Council (ERC)2009783
Subject Keywords:Computer vision, image segmentation, unsupervised object recognition, graphical models, density estimation, scene analysis.
Issue or Number:9
Record Number:CaltechAUTHORS:20120731-101604181
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20120731-101604181
Official Citation:Andreetto, Marco; Zelnik-Manor, Lihi; Perona, Pietro; , "Unsupervised Learning of Categorical Segments in Image Collections," Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.34, no.9, pp.1842-1855, Sept. 2012 doi: 10.1109/TPAMI.2011.268 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6112771&isnumber=6247420
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:32815
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:01 Aug 2012 14:40
Last Modified:30 Mar 2020 23:48

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