TY  - CONF
AU  - Estefania Talavera
AU  - Mariella Dimiccoli
AU  - Marc Bolaños
AU  - Maedeh Aghaei
AU  - Petia Radeva
A2  - IbPRIA
PY  - 2015//
TI  - R-clustering for egocentric video segmentation
T2  - LNCS
BT  - Pattern Recognition and Image Analysis, Proceedings of 7th Iberian Conference , ibPRIA 2015
SP  - 327
EP  - 336
VL  - 9117
PB  - Springer International Publishing
KW  - Temporal video segmentation
KW  - Egocentric videos
KW  - Clustering
N2  - In this paper, we present a new method for egocentric video temporal segmentation based on integrating a statistical mean change detector and agglomerative clustering(AC) within an energy-minimization framework. Given the tendency of most AC methods to oversegment video sequences when clustering their frames, we combine the clustering with a concept drift detection technique (ADWIN) that has rigorous guarantee of performances. ADWIN serves as a statistical upper bound for the clustering-based video segmentation. We integrate both techniques in an energy-minimization framework that serves to disambiguate the decision of both techniques and to complete the segmentation taking into account the temporal continuity of video frames descriptors. We present experiments over egocentric sets of more than 13.000 images acquired with different wearable cameras, showing that our method outperforms state-of-the-art clustering methods.
SN  - 0302-9743
SN  - 978-3-319-19389-2
UR  - http://dx.doi.org/10.1007/978-3-319-19390-8_37
N1  - MILAB
ID  - Estefania Talavera2015
ER  -