Title: Using inter-conceptual relationships to improve SVM classification in news video
Authors: Poulisse, Gerardus #
Issue Date: 2008
Publisher: Maastricht University
Host Document: Proceedings of the 8th Dutch-Belgian information retrieval workshop (DIR 2008) pages:81-92
Conference: The 8th Dutch-Belgian information retrieval workshop (DIR 2008) location:Maastricht date:14-15 April 2008
Abstract: Three post-processing methods are described that can be used to enhance the performance of concept classifiers in news video.Two of them, consider the semantic relationships between concepts. The first method, Ancestor Boosting, aims to improve classifier performance for the case where one concept class is the semantic ancestor (superset) of another concept class, which is a child (subset) of the first. The second method, Sibling Confusion Removal, considers the case where concepts are semantically mutually exclusive in order to lessen the frequency of false positives amongst sibling classifiers. A final method, Chi-square Boosting, improves classifier performance by considering the influence of frequently co-occurring concepts.
Description: Publication of master thesis
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Informatics Section
# (joint) last author

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