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| 020 | _a9783030354800 | ||
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_a10.1007/978-3-030-35480-0 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTA1638.4 _b2020 EB |
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| 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. |
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| 300 | _a1 recurso en línea (IX, 274 páginas) | ||
| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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_atext file _bPDF |
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_aStudies in Computational Intelligence _x1860-949X _v876 |
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| 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 |
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| 700 | 1 |
_aRuban, Igor _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aLevashenko, Vitaly _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 773 | 0 | _tSpringer eBooks | |
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_iPrinted edition: _z9783030354794 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030354817 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030354824 |
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_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) |
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_2lcc _cLE _n0 |
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_b03/2020 _dz _ea _zSI |
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