Video Text Detection

  • Tong Lu
  • Shivakumara Palaiahnakote
  • Chew Lim Tan
  • Wenyin Liu

Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

Table of contents

  1. Front Matter
    Pages i-x
  2. Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 1-18
  3. Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 19-47
  4. Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 49-80
  5. Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 81-126
  6. Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 127-144
  7. Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 145-168
  8. Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 169-193
  9. Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 195-219
  10. Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 221-246
  11. Tong Lu, Shivakumara Palaiahnakote, Chew Lim Tan, Wenyin Liu
    Pages 247-254
  12. Back Matter
    Pages 255-264

About this book

Introduction

Video text detection provides an efficient approach to the indexing, classification, retrieval and understanding of visual content.

This unique text/reference 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.

Topics and features:

  • Explains the fundamental theory in a succinct manner, supplemented with thorough, up-to-date references for further reading
  • Highlights practical techniques to help the reader understand and develop their own detection systems and video text-based applications
  • Discusses the state of the field from historical progress to the latest cutting-edge developments
  • Serves as an easy-to-navigate reference, presenting the material in self-contained chapters
  • Reviews the entire process from pre-processing to post-processing, including non-English script detection and advanced multi-modal techniques

This accessible yet comprehensive overview of video text detection is essential reading for advanced students and researchers in pattern recognition, document analysis, image processing, video retrieval and related fields.

Keywords

Optical Character Recognition (OCR) Stroke Tracking Text Detection Video Content Analysis Video Text Segmentation

Authors and affiliations

  • Tong Lu
    • 1
  • Shivakumara Palaiahnakote
    • 2
  • Chew Lim Tan
    • 3
  • Wenyin Liu
    • 4
  1. 1.Department of Computer Science and TechnologyNanjing UniversityNanjingChina
  2. 2.Faculty of CSITUniversity of MalayaKuala LumpurMalaysia
  3. 3.National University of SingaporeSingaporeSingapore
  4. 4.Multimedia Software Engineering Research CenterCity University of Hong KongKowloon TongHong Kong SAR

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-6515-6
  • Copyright Information Springer-Verlag London 2014
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-4471-6514-9
  • Online ISBN 978-1-4471-6515-6
  • Series Print ISSN 2191-6586
  • Series Online ISSN 2191-6594
  • About this book
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