Table of contents
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
- 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
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