Advances in Spatio-Temporal Segmentation of Visual Data
Seiten
2021
|
1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-35482-4 (ISBN)
Springer International Publishing (Verlag)
978-3-030-35482-4 (ISBN)
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.
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 |
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