Detection and retrieval of captions in news video

Ming Luo; Xuesheng Bai; Guang-you Xu

doi:10.1117/12.441561

25 September 2001 Detection and retrieval of captions in news video

Ming Luo, Xuesheng Bai, Guang-you Xu

Proceedings Volume 4553, Visualization and Optimization Techniques; (2001) https://doi.org/10.1117/12.441561
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

Generating semantically meaningful content of news video has been increasingly spotlighted. Captions in video include useful information for automatic annotation and indexing. Unfortunately, there are difficulties in retrieving captions for most real applications because of the following factors: low resolution characters and extremely complex backgrounds. This paper proposes a novel local mutation-based method to solve these problems. We detect and locate captions according to shape-regularity and connectivity of the local mutation region. The overall experimental results show that our approach is general, effective, real time and robust enough for caption detection and retrieval, and farther for use in news indexing.

Citation Download Citation

Ming Luo, Xuesheng Bai, and Guang-you Xu "Detection and retrieval of captions in news video", Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); https://doi.org/10.1117/12.441561

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