Automatic annotation of broadcasting news programs is a challenging task for multimedia press review. Usually in a video stream, the head of a person moves continuously and changes in facial expressions, lighting conditions, and camera motion produce significant distortions in the image appearance that can largely affect recognition performances. In this paper a system for automatic face identification in TV broadcasting programs is proposed. The proposed approach is based on a joint use of Scale Invariant Feature Transform descriptor and Eigenfaces-based approach. The algorithm has been tested on two national broadcasting channels. Experimental results show that the joint use of these two approaches improves the recognition rate.
Leo, M., Battisti, F., Carli, M., Neri, A. (2014). Video news face retrieval based on Web image datasets. In 2014 Euro Med Telco Conference - From Network Infrastructures to Network Fabric: Revolution at the Edges, EMTC 2014 (pp.1-5). Institute of Electrical and Electronics Engineers Inc. [10.1109/EMTC.2014.6996638].
Video news face retrieval based on Web image datasets
LEO, MARCO;BATTISTI, FEDERICA;CARLI, Marco;NERI, Alessandro
2014-01-01
Abstract
Automatic annotation of broadcasting news programs is a challenging task for multimedia press review. Usually in a video stream, the head of a person moves continuously and changes in facial expressions, lighting conditions, and camera motion produce significant distortions in the image appearance that can largely affect recognition performances. In this paper a system for automatic face identification in TV broadcasting programs is proposed. The proposed approach is based on a joint use of Scale Invariant Feature Transform descriptor and Eigenfaces-based approach. The algorithm has been tested on two national broadcasting channels. Experimental results show that the joint use of these two approaches improves the recognition rate.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
