Advances in Spatio-Temporal Segmentation of Visual Data: 876 (Studies in Computational Intelligence, 876) - Tapa dura

Libro 379 de 538: Studies in Computational Intelligence
 
9783030354794: Advances in Spatio-Temporal Segmentation of Visual Data: 876 (Studies in Computational Intelligence, 876)
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ISBN 10: 3030354792 ISBN 13: 9783030354794
Editorial: Springer, 2020

Sinopsis

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. 

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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. 

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2020
Idioma
Inglés
ISBN 10 
3030354792
ISBN 13 
9783030354794
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
286
Editor
Mashtalir Vladimir, Ruban Igor, Levashenko Vitaly
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3,69115 Heidelberg, Germany
Heidelberg
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Alemania

Otras ediciones populares con el mismo título

9783030354824: Advances in Spatio-Temporal Segmentation of Visual Data: 876 (Studies in Computational Intelligence)

Edición Destacada

ISBN 10:  3030354822 ISBN 13:  9783030354824
Editorial: Springer, 2021
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