Text detection and recognition for person identification in videos

• Published in: 2011 9th International Workshop on Content-Based Multimedia Indexing (CBMI) pp. 245 - 248
• Main Authors: Poignant, J., Thollard, F., Quenot, G., Besacier, L.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-06-2011
• Subjects: Character recognition; Hidden Markov models; Multimedia communication; Optical character recognition software; Streaming media; Text recognition; Videos
• ISBN: 1612844324; 9781612844329
• ISSN: 1949-3983; 1949-3991
• DOI: 10.1109/CBMI.2011.5972553

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.