Comparison between SVM-Light, a search engine-based approach and the mediamill baselines for assigning concepts to video shot annotations

摘要

This paper describes work performed at the University of Sunderland as part of the EU-funded VITALAS project. Text feature vectors, extracted from the TRECVID video data set, were submitted to an SVM-light implementation of support vector machine, which a