Time and space for segmenting personal photo sets

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

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 par- ticipants own photos. The results show users make none or few changes to the proposed segmentations, indicating an acceptance of the algorithm outcome.
Original languageEnglish
Article number76
Pages (from-to)7141–7173
JournalMultimedia Tools and Applications Journal
Volume76
Issue number5
Publication statusPublished - Mar 2017

Keywords

  • Empirical user study
  • Segmentation algorithm
  • Formalisation
  • Personal photo collections

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