TY  - CONF
AU  - Bogdan Raducanu
AU  - Alireza Bosaghzadeh
AU  - Fadi Dornaika
A2  - CVPRW
PY  - 2015//
TI  - Multi-observation Face Recognition in Videos based on Label Propagation
BT  - 6th Workshop on Analysis and Modeling of Faces and Gestures AMFG2015
SP  - 10
EP  - 17
N2  - In order to deal with the huge amount of content generated by social media, especially for indexing and retrieval purposes, the focus shifted from single object recognition to multi-observation object recognition. Of particular interest is the problem of face recognition (used as primary cue for persons’ identity assessment), since it is highly required by popular social media search engines like Facebook and Youtube. Recently, several approaches for graph-based label propagation were proposed. However, the associated graphs were constructed in an ad-hoc manner (e.g., using the KNN graph) that cannot cope properly with the rapid and frequent changes in data appearance, a phenomenon intrinsically related with video sequences. In this paper, wepropose a novel approach for efficient and adaptive graph construction, based on a two-phase scheme: (i) the first phase is used to adaptively find the neighbors of a sample and also to find the adequate weights for the minimization function of the second phase; (ii) in the second phase, theselected neighbors along with their corresponding weights are used to locally and collaboratively estimate the sparse affinity matrix weights. Experimental results performed on Honda Video Database (HVDB) and a subset of videosequences extracted from the popular TV-series ’Friends’ show a distinct advantage of the proposed method over the existing standard graph construction methods.
UR  - http://dx.doi.org/10.1109/CVPRW.2015.7301349
N1  - OR; 600.068; 600.072;MV
ID  - Bogdan Raducanu2015
ER  -