Multimodal Person Discovery in Broadcast TV: lessons learned from MediaEval 2015 - Laboratoire Interdisciplinaire des Sciences du Numérique Access content directly
Journal Articles Multimedia Tools and Applications Year : 2017

Multimodal Person Discovery in Broadcast TV: lessons learned from MediaEval 2015

Abstract

We describe the " Multimodal Person Discovery in Broadcast TV " task of MediaEval 2015 benchmarking initiative. Participants were asked to return the names of people who can be both seen as well as heard in every shot of a collection of videos. The list of people was not known a priori and their names had to be discovered in an unsupervised way from media content using text overlay or speech transcripts. The task was evaluated using information retrieval metrics, based on a posteriori collaborative annotation of the test corpus. The first edition of the task gathered 9 teams which submitted 34 runs. This paper provides quantitative and qualitative comparisons of participants submissions. We also investigate why all systems failed for particular shots, paving the way for future promising research directions.
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Dates and versions

hal-01690581 , version 1 (23-01-2018)

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Johann Poignant, Hervé Bredin, Claude Barras. Multimodal Person Discovery in Broadcast TV: lessons learned from MediaEval 2015. Multimedia Tools and Applications, 2017, 76 (21), pp.22547 - 22567. ⟨10.1007/s11042-017-4730-x⟩. ⟨hal-01690581⟩
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