LEADER 03639nam 22006135 450 001 9910366616003321 005 20221121220548.0 010 $a3-030-35480-6 024 7 $a10.1007/978-3-030-35480-0 035 $a(OCoLC)1135201009 035 $a(CKB)5280000000190028 035 $a(MiAaPQ)EBC6113590 035 $a(DE-He213)978-3-030-35480-0 035 $a(PPN)242817556 035 $a(EXLCZ)995280000000190028 100 $a20191216d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Spatio-Temporal Segmentation of Visual Data /$fedited by Vladimir Mashtalir, Igor Ruban, Vitaly Levashenko 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (279 pages) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v876 311 $a3-030-35479-2 327 $aAdaptive Edge Detection Models and Algorithms -- Swarm Methods of Image Segmentation -- Spatio-temporal Data Interpretation Based on Perceptional Model -- Spatio-Temporal Video Segmentation. 330 $aThis book proposes a number of promising models and methods for adaptive segmentation, swarm partition, permissible segmentation, and transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and fuzzy systems for information retrieval. The main focus is on the spatio-temporal segmentation of visual information. Sets of meaningful and manageable image or video parts, defined by visual interest or attention to higher-level semantic issues, are often vital to the efficient and effective processing and interpretation of viewable information. Developing robust methods for spatial and temporal partition represents a key challenge in computer vision and computational intelligence as a whole. This book is intended for students and researchers in the fields of machine learning and artificial intelligence, especially those whose work involves image processing and recognition, video parsing, and content-based image/video retrieval. . 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v876 606 $aEngineering mathematics 606 $aOptical data processing 606 $aComputational intelligence 606 $aEngineering Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/T11030 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 615 0$aEngineering mathematics. 615 0$aOptical data processing. 615 0$aComputational intelligence. 615 14$aEngineering Mathematics. 615 24$aImage Processing and Computer Vision. 615 24$aComputational Intelligence. 676 $a621.367 676 $a006.6 702 $aMashtalir$b Vladimir$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRuban$b Igor$c(Editor of Advances in self-healing systems monitoring and data processing),$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLevashenko$b Vitaly$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910366616003321 996 $aAdvances in Spatio-Temporal Segmentation of Visual Data$92539802 997 $aUNINA