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  • Book
  • © 2014

Video Text Detection

  • 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)

  1. Front Matter

    Pages i-x
  2. Introduction to Video Text Detection

    • Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 1-18
  3. Video Preprocessing

    • Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 19-47
  4. Video Caption Detection

    • Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 49-80
  5. Text Detection from Video Scenes

    • Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 81-126
  6. Post-processing of Video Text Detection

    • Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 127-144
  7. Character Segmentation and Recognition

    • Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 145-168
  8. Video Text Detection Systems

    • Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 169-193
  9. Script Identification

    • Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 195-219
  10. Text Detection in Multimodal Video Analysis

    • Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 221-246
  11. Performance Evaluation

    • Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 247-254
  12. Back Matter

    Pages 255-264

About this book

This book presents a systematic introduction to the latest developments in video text detection. Opening with a discussion of the underlying theory and a brief history of video text detection, the text proceeds to cover pre-processing and post-processing techniques, character segmentation and recognition, identification of non-English scripts, techniques for multi-modal analysis and performance evaluation. The detection of text from both natural video scenes and artificially inserted captions is examined. Various applications of the technology are also reviewed, from license plate recognition and road navigation assistance, to sports analysis and video advertising systems. Features: explains the fundamental theory in a succinct manner, supplemented with references for further reading; highlights practical techniques to help the reader understand and develop their own video text detection systems and applications; serves as an easy-to-navigate reference, presenting the material in self-contained chapters.

Authors and Affiliations

  • Department of Computer Science and Technology, Nanjing University, Nanjing, China

    Tong Lu

  • Faculty of CSIT, University of Malaya, Kuala Lumpur, Malaysia

    Shivakumara Palaiahnakote

  • National University of Singapore, Singapore, Singapore

    Chew Lim Tan

  • 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

  • Topics: Image Processing and Computer Vision

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access