Claudiu TANASE - Phd student - MM department Multimedia Communications
Date: December 14th 2011 Location: Eurecom - Eurecom
In this paper we propose a spatio-temporal descriptor called ST-MP7EH which can address some of the challenges encountered in practical video classification systems and we present our experimental results in support of our participation at TRECVid 2011 Semantic Indexing. This descriptor combines the MPEG-7 Edge Histogram descriptor with motion information and is designed to be computationally efficient, scalable and highly parallel. We show that our descriptor performs well in SVM classification compared to a baseline spatio-temporal descriptor and highlight the importance of the temporal component by comparing to the initial edge histogram descriptor and the potential of feature fusion with other classifiers.