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Pattern Recognition and Information Forensics

ICPR 2018 International Workshops, CVAUI, IWCF, and MIPPSNA, Beijing, China, August 20-24, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11188)

Included in the following conference series:

Conference proceedings info: ICPR 2018.

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Table of contents (16 papers)

  1. Computer Vision for Analysis of Underwater Imagery (CVAUI 2018)

  2. International Workshop on Computational Forensics (IWCF 2018)

  3. Multimedia Information Processing for Personality and Social Networks Analysis Workshop (MIPPSNA 2018)

Other volumes

  1. Pattern Recognition and Information Forensics

Keywords

About this book

This book constitutes the refereed post-conference proceedings of 3 workshops, held at the 24th International Conference on Pattern Recognition, Beijing, China, in August 2018: the Third International Workshop on Computer Vision for Analysis of Underwater Imagery, CVAUI 2018, the 7th International Workshop on Computational Forensics, IWCF 2018, and the International Workshop on Multimedia Information Processing for Personality and Social Networks Analysis, MIPPSNA 2018.
The 16 full papers presented in this book were carefully reviewed and selected from 23 submissions. 
CVAUI Workshop: The analysis of underwater imagery imposes a series of unique challenges, which need to be tackled by the computer vision community in collaboration with biologists and ocean scientists. IWCF Workshop: With the advent of high-end technology, fraudulent efforts are on rise in many areas of our daily life, may it be fake paper documents, forgery in the digital domain or copyright infringement. 
In solving the related criminal cases use of pattern recognition (PR) principles is also gaining an important place because of their ability in successfully assisting the forensic experts to solve many of such cases. 
MIPPSNA Workshop: Its goal is to compile the latest research advances on the analysis of multimodal information for facing problems that are not visually obvious, this is, problems for which the sole visual analysis is insufficient to provide a satisfactory solution.


Editors and Affiliations

  • Chinese Academy of Sciences, Beijing, China

    Zhaoxiang Zhang

  • University of Adelaide, North Terrace, Australia

    David Suter

  • City College of New York, New York, USA

    Yingli Tian

  • University of Victoria, Victoria, Canada

    Alexandra Branzan Albu

  • University of La Rochelle, La Rochelle, France

    Nicolas Sidère

  • National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico

    Hugo Jair Escalante

Bibliographic Information

  • Book Title: Pattern Recognition and Information Forensics

  • Book Subtitle: ICPR 2018 International Workshops, CVAUI, IWCF, and MIPPSNA, Beijing, China, August 20-24, 2018, Revised Selected Papers

  • Editors: Zhaoxiang Zhang, David Suter, Yingli Tian, Alexandra Branzan Albu, Nicolas Sidère, Hugo Jair Escalante

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-05792-3

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Softcover ISBN: 978-3-030-05791-6Published: 19 December 2018

  • eBook ISBN: 978-3-030-05792-3Published: 02 January 2019

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXIV, 179

  • Number of Illustrations: 20 b/w illustrations, 67 illustrations in colour

  • Topics: Image Processing and Computer Vision, Pattern Recognition, Computer Graphics

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