Automatic text detection and tracking in digital video

Author

Li, Huiping ; Doermann, David ; Kia, Omid

Author_Institution

Center for Autom. Res., Maryland Univ., College Park, MD, USA

Volume

9

Issue

1

fYear

2000

fDate

1/1/2000 12:00:00 AM

Firstpage

147

Lastpage

156

Abstract

Text that appears in a scene or is graphically added to video can provide an important supplemental source of index information as well as clues for decoding the video´s structure and for classification. In this work, we present algorithms for detecting and tracking text in digital video. Our system implements a scale-space feature extractor that feeds an artificial neural processor to detect text blocks. Our text tracking scheme consists of two modules: a sum of squared difference (SSD) based module to find the initial position and a contour-based module to refine the position. Experiments conducted with a variety of video sources show that our scheme can detect and track text robustly

Keywords

content-based retrieval; database indexing; digital libraries; feature extraction; image classification; neural nets; video databases; artificial neural network; automatic text detection; contour-based module; digital libraries; digital video; image classification; index information; scale-space feature extractor; sum of squared difference; text tracking; video indexing; Data mining; Decoding; Feature extraction; Feeds; Graphics; Indexing; Layout; NIST; Robustness; Text recognition;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.817607

Filename

817607