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| 008 | 170502s2017 si a ob 000 0 eng d | ||
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_a9789811045394 _q(electronic bk.) |
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_aQ325.5 _bV476 2017 EB |
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| 100 | 1 |
_aVerma, Brijesh, _eautor |
|
| 245 | 1 | 0 |
_aRoadside video data analysis : _bdeep learning _cBrijesh Verma, Ligang Zhang, David Stockwell. |
| 264 | 1 |
_aSingapore _bSpringer _c2017. |
|
| 300 |
_a1 recurso en línea (xxv, 189 páginas) _bilustraciones (algunas a color) |
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| 336 |
_aTexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 0 |
_aStudies in computational intelligence _x1860-949X _vvolume 711 |
|
| 500 | _aSpringerLink | ||
| 504 | _aIncluye referencias bibliográficas | ||
| 505 | 0 | _aChapter 1: Introduction -- Chapter 2: Roadside Video Data Analysis Framework -- Chapter 3: Non-Deep Learning Techniques for Roadside Video Data Analysis -- Chapter 4: Deep Learning Techniques for Roadside Video Data Analysis -- Chapter 5: Case Study: Roadside Video Data Analysis for Fire Risk Assessment -- Chapter 6: Conclusion and Future Insight -- References. | |
| 520 | 3 | _aThis book highlights the methods and applications for roadside video data analysis, with a particular focus on the use of deep learning to solve roadside video data segmentation and classification problems. It describes system architectures and methodologies that are specifically built upon learning concepts for roadside video data processing, and offers a detailed analysis of the segmentation, feature extraction and classification processes. Lastly, it demonstrates the applications of roadside video data analysis including scene labelling, roadside vegetation classification and vegetation biomass estimation in fire risk assessment. | |
| 588 | 0 | _aOnline resource; title from PDF title page (SpringerLink, viewed May 2, 2017). | |
| 988 | _aEBOOK, EBSPRINGER_2017C | ||
| 650 | 7 |
_2embne _aAprendizaje automático _9166090 |
|
| 700 | 1 |
_aStockwell, David, _eautor |
|
| 700 | 1 |
_aZhang, Ligang, _eautor |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-981-10-4539-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b02/2018 _dz _e- _zSI |
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