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Orientador(es)
Resumo(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.
Descrição
Palavras-chave
Empirical user study Segmentation algorithm Formalisation Personal photo collections
Contexto Educativo
Citação
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
Editora
Springer Verlag