Advances in Spatio-Temporal Segmentation of Visual Data

Vladimir Mashtalir, Igor Ruban, Vitaly Levashenko (Herausgeber)

Buch | Softcover

IX, 274 Seiten

2021
Springer International Publishing (Verlag)
978-3-030-35482-4 (ISBN)

Artikel merken

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.

Adaptive Edge Detection Models and Algorithms.- Swarm Methods of Image Segmentation.- Spatio-temporal Data Interpretation Based on Perceptional Model.- Spatio-Temporal Video Segmentation.

Erscheinungsdatum	19.01.2021
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	IX, 274 p.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	438 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Technik
Schlagworte	Boundary Segmentation • Cognitive Robotics • Contrast Estimation • Data Mining • Digital image • Fuzzy Logic • fuzzy system • Generalization and Abstraction Inference • information system • Intelligent Systems • internet of things
ISBN-10	3-030-35482-2 / 3030354822
ISBN-13	978-3-030-35482-4 / 9783030354824
Zustand	Neuware