Title :
Iterative Label Propagation on facial images
Author :
Zoidi, Olga ; Tefas, Anastasios ; Nikolaidis, Nikos ; Pitas, Ioannis
Author_Institution :
Dept. of Inf., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
Abstract :
In this paper a novel method is introduced for propagating person identity labels on facial images in an iterative manner. The proposed method takes into account information about the data structure, obtained through clustering. This information is exploited in two ways: to regulate the similarity strength between the data and to indicate which samples should be selected for label propagation initialization. The proposed method can also find application in label propagation on multiple graphs. The performance of the proposed Iterative Label Propagation (ILP) method was evaluated on facial images extracted from stereo movies. Experimental results showed that the proposed method outperforms state of the art methods either when only one or both video channels are used for label propagation.
Keywords :
data structures; face recognition; iterative methods; pattern clustering; stereo image processing; ILP method; data structure; facial images; iterative label propagation; label propagation initialization; pattern clustering; person identity label; similarity strength; stereo movies; video channels; Accuracy; Clustering algorithms; Data structures; Iterative methods; Motion pictures; Semantics; Visualization; label propagation; multi-graph label propagation;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
Conference_Location :
Lisbon