Authors:
- The first book dedicated to video text detection
- Systematically reviews the latest developments in video text detection methods
- Provides practical techniques and examples of real-world text detection systems
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Department of Computer Science and Technology, Nanjing University, Nanjing, China
Tong Lu
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Faculty of CSIT, University of Malaya, Kuala Lumpur, Malaysia
Shivakumara Palaiahnakote
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National University of Singapore, Singapore, Singapore
Chew Lim Tan
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Multimedia Software Engineering Research Center, City University of Hong Kong, Kowloon Tong, Hong Kong SAR
Wenyin Liu
About the authors
Dr. Tong Lu is an Associate Professor in the Department of Computer Science and Technology, and a member of the State Key Lab for Novel Software and Technology at Nanjing University, China.
Dr. Shivakumara Palaiahnakote is a Senior Lecturer in the Faculty of Computer Science and Information Technology at the University of Malaya, Kuala Lumpur, Malaysia.
Dr. Chew Lim Tan is a Professor in the School of Computing at the National University of Singapore.
Dr. Wenyin Liu is a Senior Research Fellow and Associate Director of the Multimedia Software Engineering Research Center at City University of Hong Kong.
Bibliographic Information
Book Title: Video Text Detection
Authors: Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-4471-6515-6
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2014
Hardcover ISBN: 978-1-4471-6514-9Published: 11 August 2014
Softcover ISBN: 978-1-4471-7009-9Published: 17 September 2016
eBook ISBN: 978-1-4471-6515-6Published: 23 July 2014
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: X, 264
Number of Illustrations: 160 b/w illustrations