Text Detection and Recognition for Person Identification in Video

Johann Poignant 1 Franck Thollard 2 Georges Quénot 2 Laurent Besacier 3, *
* Corresponding author
2 MRIM - Modélisation et Recherche d’Information Multimédia [Grenoble]
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
Abstract : This article presents a demo of person search in audiovisual broadcast using only the text available in a video and in resources external to the video. We also present the different steps used to recognize characters in video for multi-modal person recognition systems. Text detection is realized using the text features (texture, color, contrast, geometry, temporal information). The text recognition itself is performed by the Google Tesseract free software. The method was successfully evaluated on a broadcast news corpus that contains 59 videos from the France 2 French TV channel.
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Johann Poignant, Franck Thollard, Georges Quénot, Laurent Besacier. Text Detection and Recognition for Person Identification in Video. CBMI 2011 - Internationnal Workshop on Content-Based Multimedia Indexing, Jun 2011, Madrid, Spain. pp.245-248, ⟨10.1109/CBMI.2011.5972553⟩. ⟨hal-00763540⟩

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