Advances in Spatio-Temporal Segmentation of Visual Data

Vladimir Mashtalir (u. a.)

ISBN 10: 3030354792 / ISBN 13: 9783030354794

Published by Springer International Publishing, 2020

About this Item

Advances in Spatio-Temporal Segmentation of Visual Data | Vladimir Mashtalir (u. a.) | Buch | ix | Englisch | 2020 | Springer International Publishing | EAN 9783030354794 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 117556436

Bibliographic Details

• Title: Advances in Spatio-Temporal Segmentation of Visual Data
• Publisher: Springer International Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 3030354792
• ISBN 13: 9783030354794
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 21D millimeters 241 millimeters width by 160 millimeters height by 21 millimeters depth
• Weight: 594 grams
• Seller catalogs:
  • Bücher

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.