Advances in Spatio-Temporal Segmentation of Visual Data: Studies in Computational Intelligence, cartea 876
Editat de Vladimir Mashtalir, Igor Ruban, Vitaly Levashenkoen Limba Engleză Hardback – 16 ian 2020
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.
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 606.15 lei 6-8 săpt. | |
Springer International Publishing – 17 ian 2021 | 606.15 lei 6-8 săpt. | |
Hardback (1) | 612.02 lei 6-8 săpt. | |
Springer International Publishing – 16 ian 2020 | 612.02 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783030354794
ISBN-10: 3030354792
Ilustrații: IX, 274 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.58 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3030354792
Ilustrații: IX, 274 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.58 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
Cuprins
Adaptive Edge Detection Models and Algorithms.- Swarm Methods of Image Segmentation.- Spatio-temporal Data Interpretation Based on Perceptional Model.- Spatio-Temporal Video Segmentation.
Textul de pe ultima copertă
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.
Caracteristici
Presents recent research on the spatio-temporal segmentation of visual data Provides systematic information on the research, development, and implementation of advanced spatio-temporal segmentation of visual data for components, networks, and complex systems Addresses software, programmable and hardware components, communications, cloud and IoT-based systems, and IT infrastructures