Using inter-conceptual relationships to improve SVM classification in news video
Gerardus Poulisse · Lirias · 2008
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.