Advances in Spatio-Temporal Segmentation of Visual Data

Mashtalir, Vladimir (Edited by)/ Ruban, Igor (Edited by)/ Levashenko, Vitaly (Edited by)

ISBN 10: 3030354792 / ISBN 13: 9783030354794

Published by Springer, 2020

About this Item

286 pages. 9.25x6.10x0.83 inches. In Stock.

Seller Inventory # x-3030354792

Bibliographic Details

• Title: Advances in Spatio-Temporal Segmentation of Visual Data
• Publisher: Springer
• Publication Date: 2020
• Language: English
• ISBN 10: 3030354792
• ISBN 13: 9783030354794
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.39 kilograms

About this title

Synopsis

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.