Label Propagation on Facial Images Using Similarity and Dissimilarity Labelling Constraints
Efstratios Kakaletsis, Olga Zoidi, Ioannis Tsingalis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas · 2018
In this paper, a novel multimedia data (specifically facial images) label propagation method is presented that is based on the inclusion of labelling constraints in the objective function of the MLPP-CLP state of the art algorithm. The proposed method can incorporate pairwise facial image similarity and dissimilarity constraints into the objective function of the aforementioned method. Experiments which have been conducted on facial image labelling in three stereoscopic movies, confirm the increased labelling accuracy of the proposed method.