João Moura Pires (superv.), Universidade NOVA de Lisboa, May 2017.
Keywords: Spatiotemporal events, granularity, level of detail, visual analytics
Abstract:Crimes, forest fires, accidents, infectious Read More …
João Moura Pires (superv.), Universidade NOVA de Lisboa, Fevereiro 2015.
The characteristics of a personal photo collection set challenges in the archival and retrieval that are different from the challenges in general-purpose multimedia collections. The images in personal photo collections show large variability in the depicted items and have hidden semantics. Such features make it hard to find a fully automated solution to the archival and retrieval, that deals with sensory and semantic gaps. Since emotions and non-visual contextual information can be very important to address those problems, including the user in-the-loop is relevant. Thus, manual annotations are key, although their time-consuming nature may alienate users from doing them. Read More …
Adérito Fernandes Marcos/Maribel Yasmina Santos/João Espregueira-Mendes (superv.), Universidade do Minho, November 2008
Current positioning and sensing technologies enable the collection of very large spatio-temporal data sets. When analysing movement data, researchers often resort to clustering techniques to extract useful patterns from these data. Density-based clustering algorithms, although being very adequate to the analysis of this type of data, can be very inefficient when analysing huge amounts of data. Read More …