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UCSD Computer Vision

Context Based Object Categorization

Carolina Galleguillos, Andrew Rabinovich, Serge Belongie


Synopsis

The goal of object categorization is to locate and identify instances of an object category within an image. Recognizing an object in an image is difficult when images present occlusion, poor quality, noise or background clutter, and this task becomes even more challenging when many objects are present in the same scene. Several models for object categorization use appearance and context information from objects to improve recognition accuracy. Appearance information, based on visual cues, can successfully identify object classes up to a certain extent. Context information, based on the interaction among objects in the scene or global scene statistics, can help successfully disambiguate appearance inputs in recognition tasks. In this work we present different ways of using contextual information in the field of object categorization and discuss scalability, optimizations and possible future approaches.


Related Publications

2012
Murillo A.C., Kwak I., Bourdev L., Kriegman D., Belongie S., "Urban Tribes: Analyzing Group Photos from a Social Perspective", CVPR Workshop on Socially Intelligent Surveillance and Monitoring (SISM), Providence, RI, June, 2012. [BibTex][pdf]
2011
Galleguillos C., McFee B., Belongie S., Lanckriet G., "From Region Similarity to Category Discovery", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, 2011. [BibTex][pdf]
2010
Galleguillos C., Belongie S., "Context Based Object Categorization: A Critical Survey", Computer Vision and Image Understanding (CVIU), vol. 114, pp. 712-722, 2010. [BibTex][pdf]
Galleguillos C., McFee B., Belongie S., Lanckriet G.R G., "Multi-Class Object Localization by Combining Local Contextual Interactions", IEEE Conference in Computer Vision and Pattern Recognition (CVPR), 2010. [BibTex][pdf]
2009
Rabinovich A., Belongie S., "Scenes vs. Objects: a Comparative Study of Two Approaches to Context Based Recognition", International Workshop on Visual Scene Understanding (ViSU), Miami, FL, 2009. [BibTex][pdf]
2008
Galleguillos C., Belongie S., "Context Based Object Categorization: A Critical Survey", Technical Report CSE UCSD, no. CS2008-092, 08/2008. [BibTex][pdf]
Galleguillos C., Rabinovich A., Belongie S., "Object Categorization using Co-Occurrence, Location and Appearance", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, AK, 2008. [BibTex][pdf]
2007
Rabinovich A., Vedaldi A., Galleguillos C., Wiewiora E., Belongie S., "Objects in Context", ICCV, Rio de Janeiro, 2007. [BibTex][pdf]