We present a novel solution to the MediaEval 2014 Event Synchronization Task: Synchronization of Multi-User Event Media (SEM). The framework is based on a probabilistic graphical model. Thanks to the simple topology of the graph, the estimation of the true temporal displacement among multiple photo collections can be performed e-ciently through exact inference. The underlying tness function is de ned in a exible way, for which it is possible to integrate easily new information (e.g., text tags or social network data). The exibility makes the framework suitable and adaptable to cope with many real situations. The method is evaluated on two datasets obtaining an overall accuracy of more than 85% in both cases.
Synchronizing multi-user photo galleries with MRF
Sansone, Emanuele;Boato, Giulia;Dao, Minh Son
2014-01-01
Abstract
We present a novel solution to the MediaEval 2014 Event Synchronization Task: Synchronization of Multi-User Event Media (SEM). The framework is based on a probabilistic graphical model. Thanks to the simple topology of the graph, the estimation of the true temporal displacement among multiple photo collections can be performed e-ciently through exact inference. The underlying tness function is de ned in a exible way, for which it is possible to integrate easily new information (e.g., text tags or social network data). The exibility makes the framework suitable and adaptable to cope with many real situations. The method is evaluated on two datasets obtaining an overall accuracy of more than 85% in both cases.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione



