| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 2.26 MB | Adobe PDF |
Advisor(s)
Abstract(s)
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.
Description
Keywords
Empirical user study Segmentation algorithm Formalisation Personal photo collections
Citation
DATIA, Nuno; PIRES, João Moura; CORREIA, Nuno – Time and space for segmenting personal photo sets. Multimedia Tools and Applications. ISSN 1380-7501. Vol. 76, N.º 5 (2017), pp. 7141-7173
Publisher
Springer Verlag