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Advances in Spatio-Temporal Segmentation of Visual Data

  • Vladimir Mashtalir
  • Igor Ruban
  • Vitaly Levashenko
Book

Part of the Studies in Computational Intelligence book series (SCI, volume 876)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Kirill Smelyakov, Sergiy Smelyakov, Anastasiya Chupryna
    Pages 1-51
  3. Igor Ruban, Hennadii Khudov
    Pages 53-99
  4. Anatolii Kargin, Tetyana Petrenko
    Pages 101-159
  5. Sergii Mashtalir, Volodymyr Mashtalir
    Pages 161-210
  6. Yevgeniy Bodyanskiy, Olena Boiko
    Pages 211-241
  7. Valentin Filatov, Andriy Kovalenko
    Pages 243-274

About this book

Introduction

This book proposes a number of promising models and methods for adaptive segmentation, swarm partition, permissible segmentation, and transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and fuzzy systems for information retrieval. The main focus is on the spatio-temporal segmentation of visual information. 

Sets of meaningful and manageable image or video parts, defined by visual interest or attention to higher-level semantic issues, are often vital to the efficient and effective processing and interpretation of viewable information. Developing robust methods for spatial and temporal partition represents a key challenge in computer vision and computational intelligence as a whole.

This book is intended for students and researchers in the fields of machine learning and artificial intelligence, especially those whose work involves image processing and recognition, video parsing, and content-based image/video retrieval. 

Keywords

Digital Image Contrast Estimation Boundary Segmentation Generalization and Abstraction Inference Fuzzy Logic Data Mining Internet of Things Fuzzy System Cognitive Robotics Information System Intelligent Systems

Editors and affiliations

  • Vladimir Mashtalir
    • 1
  • Igor Ruban
    • 2
  • Vitaly Levashenko
    • 3
  1. 1.Kharkiv National University of Radio ElectronicsKharkivUkraine
  2. 2.Kharkiv National University of Radio ElectronicsKharkivUkraine
  3. 3.Faculty of Management Science and InformaticsUniversity of ŽilinaŽilinaSlovakia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-35480-0
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-35479-4
  • Online ISBN 978-3-030-35480-0
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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