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020 _a9783030354800
024 7 _a10.1007/978-3-030-35480-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTA1638.4
_b2020 EB
245 0 0 _aAdvances in Spatio-Temporal Segmentation of Visual Data
_cedited by Vladimir Mashtalir, Igor Ruban, Vitaly Levashenko.
250 _a1st ed. 2020.
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2020.
300 _a1 recurso en línea (IX, 274 páginas)
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Computational Intelligence
_x1860-949X
_v876
505 0 _aAdaptive Edge Detection Models and Algorithms -- Swarm Methods of Image Segmentation -- Spatio-temporal Data Interpretation Based on Perceptional Model -- Spatio-Temporal Video Segmentation.
520 3 _aThis 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. .
988 _aPrimersemestre_2020_Engineering
650 7 _2embne
_aProceso digital de imágenes
_9413188
700 1 _aMashtalir, Vladimir
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aRuban, Igor
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLevashenko, Vitaly
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030354794
776 0 8 _iPrinted edition:
_z9783030354817
776 0 8 _iPrinted edition:
_z9783030354824
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-35480-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2020
_dz
_ea
_zSI