Clustering-Based Analysis of Semantic Concept Models for Video Shots

@article{Koskela2006ClusteringBasedAO,
  title={Clustering-Based Analysis of Semantic Concept Models for Video Shots},
  author={Markus Koskela and Alan F. Smeaton},
  journal={2006 IEEE International Conference on Multimedia and Expo},
  year={2006},
  pages={45-48}
}
In this paper we present a clustering-based method for representing semantic concepts on multimodal low-level feature spaces and study the evaluation of the goodness of such models with entropy-based methods. As different semantic concepts in video are most accurately represented with different features and modalities, we utilize the relative model-wise confidence values of the feature extraction techniques in weighting them automatically. The method also provides a natural way of measuring the… CONTINUE READING