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Advances in Spatio-Temporal Segmentation of Visual Data

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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.  weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-030-35480-0 / 978-3030354800 / 9783030354800

Verlag: Springer International Publishing

Erscheinungsdatum: 16.12.2019

Seiten: 274

Herausgegeben von Vladimir Mashtalir, Igor Ruban, Vitaly Levashenko

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