Articles details

  • Time and space for segmenting personal photo sets
  • 01 Mar 2016
  • A personal collection of photos shows large variability in the depicted items, making difficult a fully automated solution to cope with sensory and semantic gaps. Emotions and non-visual contextual information can be very important to address those problems. Manual annotations are key, but their time-consuming nature alienate users from doing them. One solution is to lower the annotation effort, building solutions on top of algorithms that prepare a context separation, making possible the reuse of annotations. In this paper we present a segmentation algorithm that uses spatio-temporal information to segment personal photo collections. The algorithm is assessed in a user study, using the participants own photos. The results show users make none or few changes to the proposed segmentations, indicating an acceptance of the algorithm outcome.
  • Multimedia Tools and Applications Journal
  • Springer Science+Business Media
  • Nuno Datia, João Moura Pires, Nuno Correia
  • 1573-7721
  • https://rdcu.be/6oz7
  • 10.1007/s11042-016-3341-2
  • 1 Mar 2016