DocumentCode
2580962
Title
Text detection and recognition for person identification in videos
Author
Poignant, Johann ; Thollard, Franck ; Quénot, Georges ; Besacier, Laurent
Author_Institution
Grenoble INP, UJF - Grenoble 1, Grenoble, France
fYear
2011
fDate
13-15 June 2011
Firstpage
245
Lastpage
248
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.
Keywords
audio-visual systems; broadcasting; text analysis; audio-visual broadcast; multimodal person recognition system; person identification; text detection; text recognition; Character recognition; Hidden Markov models; Multimedia communication; Optical character recognition software; Streaming media; Text recognition; Videos;
fLanguage
English
Publisher
ieee
Conference_Titel
Content-Based Multimedia Indexing (CBMI), 2011 9th International Workshop on
Conference_Location
Madrid
ISSN
1949-3983
Print_ISBN
978-1-61284-432-9
Electronic_ISBN
1949-3983
Type
conf
DOI
10.1109/CBMI.2011.5972553
Filename
5972553
Link To Document