Description: Advances in Spatio-Temporal Segmentation of Visual Data, Hardcover by Mashtalir, Vladimir (EDT); Ruban, Igor (EDT); Levashenko, Vitaly (EDT), ISBN 3030354792, ISBN-13 9783030354794, Brand New, Free shipping in the US 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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Number of Pages: IX, 274 Pages
Publication Name: Advances in Spatio-Temporal Segmentation of Visual Data
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2020
Subject: Engineering (General), Applied, Computer Vision & Pattern Recognition
Type: Textbook
Item Weight: 21 Oz
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Technology & Engineering
Author: Igor Ruban
Item Width: 6.1 in
Series: Studies in Computational Intelligence Ser.
Format: Hardcover
