Advances in Spatio-Temporal Segmentation of Visual Data / / edited by Vladimir Mashtalir, Igor Ruban, Vitaly Levashenko
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| Titolo: |
Advances in Spatio-Temporal Segmentation of Visual Data / / edited by Vladimir Mashtalir, Igor Ruban, Vitaly Levashenko
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (279 pages) |
| Disciplina: | 621.367 |
| 006.6 | |
| Soggetto topico: | Engineering mathematics |
| Optical data processing | |
| Computational intelligence | |
| Engineering Mathematics | |
| Image Processing and Computer Vision | |
| Computational Intelligence | |
| Persona (resp. second.): | MashtalirVladimir |
| RubanIgor (Editor of Advances in self-healing systems monitoring and data processing) | |
| LevashenkoVitaly | |
| Nota di contenuto: | Adaptive Edge Detection Models and Algorithms -- Swarm Methods of Image Segmentation -- Spatio-temporal Data Interpretation Based on Perceptional Model -- Spatio-Temporal Video Segmentation. |
| Sommario/riassunto: | 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. . |
| Titolo autorizzato: | Advances in Spatio-Temporal Segmentation of Visual Data |
| ISBN: | 3-030-35480-6 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910366616003321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Studies in Computational Intelligence, . 1860-949X ; ; 876