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Cognitively Inspired Video Text Processing

  • Book
  • © 2021

Overview

Authors:
  1. Palaiahnakote Shivakumara

    1. Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

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  2. Umapada Pal

    1. Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India

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    You can also search for this author in PubMed   Google Scholar

  • Acts as a reference for budding researchers in the hot areas of text detection and recognition in video
  • Presents the challenges and future directions of text detection and recognition in video
  • Helps the readers to think in different dimensions to solve the related challenges

Part of the book series: Cognitive Intelligence and Robotics (CIR)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Cognitively Inspired Video Text Processing

    • Palaiahnakote Shivakumara, Umapada Pal
    Pages 1-19

  3. Key Text Frame Selection from Video

    • Palaiahnakote Shivakumara, Umapada Pal
    Pages 21-33

  4. Text and Non-text Frame Classification in Video

    • Palaiahnakote Shivakumara, Umapada Pal
    Pages 35-60

  5. Video Text Detection

    • Palaiahnakote Shivakumara, Umapada Pal
    Pages 61-94

  6. Text Detection in Images

    • Palaiahnakote Shivakumara, Umapada Pal
    Pages 95-138

  7. Word and Character Segmentation

    • Palaiahnakote Shivakumara, Umapada Pal
    Pages 139-164

  8. Video Text Type Classification

    • Palaiahnakote Shivakumara, Umapada Pal
    Pages 165-190

  9. Video Text Enhancement for Recognition

    • Palaiahnakote Shivakumara, Umapada Pal
    Pages 191-232

  10. Video Text Recognition

    • Palaiahnakote Shivakumara, Umapada Pal
    Pages 233-271

  11. Conclusion and Future Directions

    • Palaiahnakote Shivakumara, Umapada Pal
    Pages 273-275
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Keywords

About this book

As technologies are fast advancing, the importance of text detection and recognition is receiving special attention from the researchers. Thus, one can see several real-time applications of video text processing which requires cognitive-based methods to find a solution. The main applications are (1) retrieving and indexing video based on semantic of the content of the video, (2) machine translation to assist foreigners, (3) assisting blind people to walk on the road freely without aid, (4) automatic vehicle driving, (5) license plate tracing to catch vehicles which violate the traffic signals, (6) monitoring the images posted on social media based on text and content of the images, (7) identifying the location based on the address of the street and shops, etc., (8) tracing players in the sports based on the jersey/bib number or text, and (9) in the same way, tracing the bib number in case of marathon and other events. For the above-mentioned applications, text detection and recognitionin video and natural scene images is an integral part of the system.

Authors and Affiliations

  • Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

    Palaiahnakote Shivakumara

  • Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India

    Umapada Pal

Bibliographic Information

  • Book Title: Cognitively Inspired Video Text Processing

  • Authors: Palaiahnakote Shivakumara, Umapada Pal

  • Series Title: Cognitive Intelligence and Robotics

  • DOI: https://doi.org/10.1007/978-981-16-7069-5

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021

  • Hardcover ISBN: 978-981-16-7068-8Published: 17 November 2021

  • Softcover ISBN: 978-981-16-7071-8Published: 18 November 2022

  • eBook ISBN: 978-981-16-7069-5Published: 16 November 2021

  • Series ISSN: 2520-1956

  • Series E-ISSN: 2520-1964

  • Edition Number: 1

  • Number of Pages: X, 275

  • Number of Illustrations: 38 b/w illustrations, 113 illustrations in colour

  • Topics: Image Processing and Computer Vision, Signal, Image and Speech Processing

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