Probabilistic person identification in TV news programs using image web database

F. Battisti; M. Carli; M. Leo; A. Neri

doi:10.1117/12.2042087

25 February 2014 Probabilistic person identification in TV news programs using image web database

F. Battisti, M. Carli, M. Leo, A. Neri

Author Affiliations +

Proceedings Volume 9019, Image Processing: Algorithms and Systems XII; 90190D (2014) https://doi.org/10.1117/12.2042087
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

The automatic labeling of faces in TV broadcasting is still a challenging problem. The high variability in view points, facial expressions, general appearance, and lighting conditions, as well as occlusions, rapid shot changes, and camera motions, produce significant variations in image appearance. The application of automatic tools for face recognition is not yet fully established and the human intervention is needed. In this paper, we deal with the automatic face recognition in TV broadcasting programs. The target of the proposed method is to identify the presence of a specific person in a video by means of a set of images downloaded from Web using a specific search key.

Citation Download Citation

F. Battisti, F. Battisti, M. Carli, M. Carli, M. Leo, M. Leo, A. Neri, A. Neri, "Probabilistic person identification in TV news programs using image web database", Proc. SPIE 9019, Image Processing: Algorithms and Systems XII, 90190D (25 February 2014); doi: 10.1117/12.2042087; https://doi.org/10.1117/12.2042087

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