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Advances in Spatio Temporal Segmentation of Visual Data Book PDF Summary

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.

Detail Book of Advances in Spatio Temporal Segmentation of Visual Data PDF

Advances in Spatio Temporal Segmentation of Visual Data
  • Author : Vladimir Mashtalir
  • Release : 16 December 2019
  • Publisher : Springer Nature
  • ISBN : 9783030354800
  • Genre : Technology & Engineering
  • Total Page : 279 pages
  • Language : English
  • PDF File Size : 14,6 Mb

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