A New Approach for Automatic Object Labeling

Olszewska, Joanna Isabelle (2012) A New Approach for Automatic Object Labeling. In: 2nd EPSRC/ BMVA Workshop on Vision and Language, 13th - 14th December 2012, Sheffield, UK. (Unpublished)

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Abstract

In order to semantically label visual objects in a large amount of images, we propose a new approach which is fast and accurate. The developed automatic object labeling technique relies on the embedded double matching of local visual descriptors detected in the example and candidate images to semantically tag the candidate image with the label associated to the example image, leading thus to the automatic annotation of the candidate image. Our system has been successfully tested on different standard datasets and is compatible with online applications.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Schools:	School of Computing and Engineering School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
Related URLs:	Author Conference
Depositing User:	Joanna Olszewska
Date Deposited:	09 May 2013 09:49
Last Modified:	28 Aug 2021 20:01
URI:	http://eprints.hud.ac.uk/id/eprint/17405

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