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Books > Computing & IT > Applications of computing > Image processing
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Advances in Spatio-Temporal Segmentation of Visual Data (Hardcover, 1st ed. 2020)
Loot Price: R2,816
Discovery Miles 28 160
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Advances in Spatio-Temporal Segmentation of Visual Data (Hardcover, 1st ed. 2020)
Series: Studies in Computational Intelligence, 876
Expected to ship within 10 - 15 working days
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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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