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On evaluating face tracks in movies

Abstract : Automatic extraction of face tracks is a key component of systems that analyse people in audio-visual content such as TV programs and movies. Due to the lack of properly annotated content of this type, popular algorithms for extracting face tracks have not been fully assessed in the literature. We introduce and make publicly available a new dataset, based on the full annotation of a feature movie, to help fill this gap. We show in particular that, thanks to this dataset, state-of-art tracking metrics can now be exploited to evaluate face tracks used by, e.g., automatic character naming systems. We conduct such an evaluation on different variants of a novel system that we introduce as a generalization of existing ones.
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Contributor : Alexey Ozerov Connect in order to contact the contributor
Submitted on : Friday, October 4, 2013 - 5:41:47 PM
Last modification on : Wednesday, January 31, 2018 - 3:08:01 PM
Long-term archiving on: : Sunday, January 5, 2014 - 8:20:17 AM


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  • HAL Id : hal-00870059, version 1



Alexey Ozerov, Jean-Ronan Vigouroux, Louis Chevallier, Patrick Pérez. On evaluating face tracks in movies. IEEE International Conference on Image Processing (ICIP 2013), Sep 2013, Melbourne, Australia. ⟨hal-00870059⟩



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