%Aigaion2 BibTeX export from HES SO Valais Publications
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@INPROCEEDINGS{,
        author = {Charara, Nour and Maria, Sokhn and Jarkass, Iman and Abou Khaled, Omar and Mugellini, Elena},
      keywords = {context modeling, Pattern Recognition, Transferable Belief Model, Video-surveillance},
         month = jun,
         title = {Multimodal Context Modeling and Classification},
     booktitle = {Electro/Information Technology (EIT)},
          year = {2014},
         pages = {341 - 346},
     publisher = {IEEE},
      location = {Milwaukee, WI},
  organization = {Electro/Information Technology (EIT), 2014 IEEE International Conference, 5-7.06.2014},
           doi = {10.1109/EIT.2014.6871788},
      abstract = {This paper presents a novel supervised method for context modeling and classification based on Transferable Belief Model (TBM). The task of context classification is to identify, among predefined context types, the one that is currently active in the video-surveillance footage of multipurpose halls. Context is
spatially modeled by extracting five discriminative semantic
features according to depth zones. These zones are provided by
depth-based scene segmentation method. Using mathematical
TBM tools, the structured semantic features are processed and
the mass functions are modeled on three levels in order to
propose classification. In addition to video document indexing
and retrieval, this work can improve the machine vision
capability in behavior analysis.}
}