Our team is involved in the research collaborations that involve many classical Computer Vision applications. Our actuation mainly concern image and video processing for surveillance, digital forensics and biometrics with focus on detection, classification, and spatio-temporal feature encoding. Some…
Medical Imaging has been widely used for the diagnosis and detection of several illnesses for decades, as it can capture potentially important characteristics of the body in a non-invasive manner. The advent of Digital Image Processing techniques and afterwards of Machine Learning methods in the…
Our Laboratory is interested in the study and development of machine learning techniques mainly for classification, feature learning, active learning, temporal series analysis, feature selection, and clustering purposes. Thus, our research very often includes development and adaptation of supervised…
Several applications, such as digital libraries, medicine, biodiversity information systems, deal with large image collections. Thus, it is essential to provide efficient and effective means to retrieve images. This is the objective of the so-called content-based image retrieval (CBIR) systems. In…
Geographic Information Systems (SIGs) are automated systems whose purpose is storing, analyze and manipulate geographic data. These systems help decision-making on various issues related to environmental and urban public monitoring policies. In addition, they are important in economic activities…