Probabilistic Semantic Video Indexing

  title={Probabilistic Semantic Video Indexing},
  author={Milind R. Naphade and Igor Kozintsev and Thomas S. Huang},
We propose a novel probabilistic framework for semantic video indexing. We define probabilistic multimedia objects (multijects) to map low-level media features to high-level semantic labels. A graphical network of such multijects (multinet) captures scene context by discovering intra-frame as well as inter-frame dependency relations between the concepts. The main contribution is a novel application of a factor graph framework to model this network. We model relations between semantic concepts… CONTINUE READING
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