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

Buch 379 von 538: Studies in Computational Intelligence
 
9783030354794: Advances in Spatio-Temporal Segmentation of Visual Data: 876 (Studies in Computational Intelligence)
Hardcover
ISBN 10: 3030354792 ISBN 13: 9783030354794
Verlag: Springer, 2020

Inhaltsangabe

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. 

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

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. 

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
3030354792
ISBN 13 
9783030354794
Einband
Tapa dura
Auflage
1
Anzahl der Seiten
286
Herausgeber
Mashtalir Vladimir, Ruban Igor, Levashenko Vitaly
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Deutschland

Weitere beliebte Ausgaben desselben Titels

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

Vorgestellte Ausgabe

ISBN 10:  3030354822 ISBN 13:  9783030354824
Verlag: Springer, 2021
Softcover