Text quality estimation in video

Huiping Li; David Scott Doermann

doi:10.1117/12.450732

18 December 2001 Text quality estimation in video

Huiping Li, David Scott Doermann

Proceedings Volume 4670, Document Recognition and Retrieval IX; (2001) https://doi.org/10.1117/12.450732
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

Text quality can significantly affect the results of text detection and recognition in digital video. In this paper we address the problem of estimating text quality. The quality of text that appears in video is often much lower than that in document images, and can be degraded by factors such as low resolution, background variation, uneven lighting, motion of the text and camera, and in the case of scene text, projection from 3D. Features based on text resolution, background noise, contrast, illumination and texture are selected to describe the text quality, normalized and fed into a trained RBF network to estimate the text quality. The performance using different training schemes are compared.

Citation Download Citation

Huiping Li and David Scott Doermann "Text quality estimation in video", Proc. SPIE 4670, Document Recognition and Retrieval IX, (18 December 2001); https://doi.org/10.1117/12.450732

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available