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@InProceedings{PatrocínioJúniorGuimPaul:2007:BiGrMa,
               author = "Patroc{\'{\i}}nio J{\'u}nior, Zenilton Kleber Gon{\c{c}}alves 
                         do and Guimar{\~a}es, Silvio Jamil Ferzoli and de Paula, Hugo 
                         Bastos",
          affiliation = "{Pont{\'{\i}}ficia Universidade Cat{\'o}lica de Minas Gerais} 
                         and {Pont{\'{\i}}ficia Universidade Cat{\'o}lica de Minas 
                         Gerais} and {Pont{\'{\i}}ficia Universidade Cat{\'o}lica de 
                         Minas Gerais}",
                title = "Bipartite graph matching for video clip localization",
            booktitle = "Proceedings...",
                 year = "2007",
               editor = "Falc{\~a}o, Alexandre Xavier and Lopes, H{\'e}lio C{\^o}rtes 
                         Vieira",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "video clip localization, graph matching.",
             abstract = "Video clip localization consists in identifying real positions of 
                         a specific video clip in a video stream. To cope with this 
                         problem, we propose a new approach considering the maximum 
                         cardinality matching of a bipartite graph to measure video clip 
                         similarity with a target video stream which has not been 
                         preprocessed. We show that our approach locates edited video 
                         clips, but it does not deal with insertion and removal of 
                         frames/shots, allowing only changes in the temporal order of 
                         frames/shots. All experiments performed in this work have achieved 
                         100% of precision for two different video datasets. And according 
                         to those experiments, our method can achieve a global recall rate 
                         of 90%.",
  conference-location = "Belo Horizonte",
      conference-year = "Oct. 7-10, 2007",
             language = "en",
           targetfile = "SIBGRAPI2007VIDEOMATCHING.pdf",
        urlaccessdate = "2020, Oct. 26"
}


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