From Text Detection in Videos to Person Identification - Archive ouverte HAL Access content directly
Conference Papers Year : 2012

From Text Detection in Videos to Person Identification


We present in this article a video OCR system that detects and recognizes overlaid texts in video as well as its application to person identification in video documents. We proceed in several steps. First, text detection and temporal tracking are performed. After adaptation of images to a standard OCR system, a final post-processing combines multiple transcriptions of the same text box. The semi-supervised adaptation of this system to a particular video type (video broadcast from a French TV) is proposed and evaluated. The system is efficient as it runs 3 times faster than real time (including the OCR step) on a desktop Linux box. Both text detection and recognition are evaluated individually and through a person recognition task where it is shown that the combination of OCR and audio (speaker) information can greatly improve the performances of a state of the art audio based person identification system.
Fichier principal
Vignette du fichier
Poignant-Besacier-Quenot-Thollard_ICME2012.pdf (487.51 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-00767383 , version 1 (19-12-2012)



Johann Poignant, Laurent Besacier, Georges Quénot, Franck Thollard. From Text Detection in Videos to Person Identification. ICME 2012 - International Conference on Multimedia and Expo, Jul 2012, Melbourne, VIC, Australia. pp.854-859, ⟨10.1109/ICME.2012.119⟩. ⟨hal-00767383⟩
184 View
323 Download



Gmail Facebook Twitter LinkedIn More