Advances in Spatio-Temporal Segmentation of Visual Data

  • Vladimir Mashtalir
  • Igor Ruban
  • Vitaly Levashenko

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


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. 


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
  • 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