@InProceedings{SaiggDiaCosMarFar:2022:PyFrOb,
               author = "Saigg, Caio L. and Dias, Bruno S. S. and Costa, Andr{\'e} H. M. 
                         and Martinez, Helard B. and Farias, Mylene C. Q.",
          affiliation = "{Universidade de Brasilia} and {Universidade de Brasilia} and 
                         {Universidade de Brasilia} and {University College Dublin} and 
                         {Universidade de Brasilia}",
                title = "A Python Framework for Objective Visual Quality Assessment",
            booktitle = "Proceedings...",
                 year = "2022",
         organization = "Conference on Graphics, Patterns and Images, 35. (SIBGRAPI)",
             keywords = "video quality, quality of experience, image processing.",
             abstract = "This work introduces a Quality Assessment Framework that provides 
                         researchers with the flexibility, consistency, and scalability 
                         they need to evaluate and compare quality metrics, promoting the 
                         reproducibility of results. The framework is open source (Python) 
                         and currently has 11 visual quality metrics that use 3 different 
                         libraries: Scikit-video, FFmpeg toolkit, and PyMetrikz. It can be 
                         easily expanded to include more metrics in the future and allows 
                         testing on several quality datasets. To validate it, we tested it 
                         on two datasets and compared the results with the results obtained 
                         by other authors in the literature. The results are consistent 
                         with those reported by external studies. With this evidence, new 
                         image/video metrics and datasets can be integrated into this 
                         framework. This will allow researchers to compare their methods 
                         with a wide number of quality metrics on several datasets in a 
                         fast and efficient way.",
  conference-location = "Natal, RN",
      conference-year = "24-27 Oct. 2022",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/47N4FBP",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/47N4FBP",
           targetfile = "2022_sibgrapi_caio_bruno (2).pdf",
        urlaccessdate = "2024, Apr. 28"
}