Advances in Spatio-Temporal Segmentation of Visual Data

Vladimir Mashtalir

ISBN 10: 3030354822 / ISBN 13: 9783030354824

Published by Springer, Palgrave Macmillan Jan 2021, 2021

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 284 pp. Englisch.

Seller Inventory # 9783030354824

Bibliographic Details

• Title: Advances in Spatio-Temporal Segmentation of Visual Data
• Publisher: Springer, Palgrave Macmillan Jan 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 3030354822
• ISBN 13: 9783030354824
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 16D millimeters 235 millimeters width by 155 millimeters height by 16 millimeters depth
• Weight: 435 grams

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.