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Advances in Spatio-Temporal Segmentation of Visual Data

Advances in Spatio-Temporal Segmentation of Visual Data

 

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Editorial:
Springer Nature B.V.
Año de edición:
2020
Materia
Aplicaciones gráficas y multimedia
ISBN:
9783030354794

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  • Librería Samer Atenea
  • Librería Aciertas (Toledo)
  • Kálamo Books
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  • Librería Kolima (Madrid)
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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. 

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