@InProceedings{BatistaLopeAraú:2009:DeBuHi,
               author = "Batista, Nat{\'a}lia Cosse and Lopes, Ana Paula Brand{\~a}o and 
                         Ara{\'u}jo, Arnaldo de Albuquerque",
          affiliation = "{Federal University of Minas Gerais (UFMG)} and {Federal 
                         University of Minas Gerais (UFMG) and State University of Santa 
                         Cruz (UESC)} and {Federal University of Minas Gerais (UFMG)}",
                title = "Detecting Buildings in Historical Photographs Using 
                         Bag-of-Keypoints",
            booktitle = "Proceedings...",
                 year = "2009",
               editor = "Nonato, Luis Gustavo and Scharcanski, Jacob",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 22. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "historical photographs, image classification, buildings 
                         recognition, bag-of-keypoints.",
             abstract = "The strategies for the preservation of historical documents can 
                         include their digitization, which is an effective way to make them 
                         publicly available while preventing degradation of the original 
                         sources. The Arquivo P{\'u}blico Mineiro (APM), the Archives of 
                         the State of Minas Gerais, has a collection of historical 
                         photographs from Brazil, and some of them have been digitized. The 
                         availability of digital copies of historical photographs makes it 
                         possible to apply Content- Based Image Retrieval (CBIR) techniques 
                         to alleviate the huge manual effort that is put nowadays into 
                         their description and indexing. On the other side, such images are 
                         usually more challenging than modern photographs, because of the 
                         poor quality of the originals and several degradation effects. In 
                         this work, it is proposed a technique based on a bag-of-keypoints 
                         representation to identify images containing buildings in the APM 
                         photographic collection. The bag-of-keypoints is an efficient 
                         image representation technique, which has been proved robust to 
                         occlusion and variations due to pose, scale, illumination and 
                         several transformations. Experiments were performed on the images 
                         from the APM collection, to classify them between building and 
                         non-building, using bag-of- keypoints representations of those 
                         images. Results show that, despite of the poor quality of the 
                         images, the bag-of-keypoints representation is able to provide 
                         good detection rates, indicating the suitability of the proposed 
                         method for the task.",
  conference-location = "Rio de Janeiro, RJ, Brazil",
      conference-year = "11-14 Oct. 2009",
                  doi = "10.1109/SIBGRAPI.2009.31",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2009.31",
             language = "en",
                  ibi = "8JMKD3MGPBW4/35THEQL",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW4/35THEQL",
           targetfile = "PID949959.pdf",
        urlaccessdate = "2024, Apr. 29"
}