Advances in Spatio-Temporal Segmentation of Visual Data

Description: Advances in Spatio-Temporal Segmentation of Visual Data Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Vladimir Mashtalir, Igor Ruban, Vitaly Levashenko Format: Hardback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030354794, 978-3030354794 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.

Price: 73.39 GBP

Location: Aldershot

End Time: 2025-01-12T09:14:40.000Z

Shipping Cost: 39.63 GBP