000 | 03682nam a22006735i 4500 | ||
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001 | 978-981-10-4539-4 | ||
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008 | 170428s2017 si | s |||| 0|eng d | ||
020 |
_a9789811045394 _9978-981-10-4539-4 |
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024 | 7 |
_a10.1007/978-981-10-4539-4 _2doi |
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_a621.382 _223 |
100 | 1 |
_aVerma, Brijesh. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _952832 |
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245 | 1 | 0 |
_aRoadside Video Data Analysis _h[electronic resource] : _bDeep Learning / _cby Brijesh Verma, Ligang Zhang, David Stockwell. |
250 | _a1st ed. 2017. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2017. |
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300 |
_aXXV, 189 p. 79 illus., 68 illus. in color. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aStudies in Computational Intelligence, _x1860-9503 ; _v711 |
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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 | _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. | ||
650 | 0 |
_aSignal processing. _94052 |
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650 | 0 |
_aComputational intelligence. _97716 |
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650 | 0 |
_aUser interfaces (Computer systems). _911681 |
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650 | 0 |
_aHuman-computer interaction. _96196 |
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650 | 0 |
_aImage processing—Digital techniques. _931565 |
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650 | 0 |
_aComputer vision. _952833 |
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650 | 0 |
_aTransportation engineering. _93560 |
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650 | 0 |
_aTraffic engineering. _915334 |
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650 | 1 | 4 |
_aSignal, Speech and Image Processing . _931566 |
650 | 2 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aUser Interfaces and Human Computer Interaction. _931632 |
650 | 2 | 4 |
_aComputer Imaging, Vision, Pattern Recognition and Graphics. _931569 |
650 | 2 | 4 |
_aTransportation Technology and Traffic Engineering. _932448 |
700 | 1 |
_aZhang, Ligang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _952834 |
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700 | 1 |
_aStockwell, David. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _952835 |
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710 | 2 |
_aSpringerLink (Online service) _952836 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811045387 |
776 | 0 | 8 |
_iPrinted edition: _z9789811045400 |
776 | 0 | 8 |
_iPrinted edition: _z9789811351624 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-9503 ; _v711 _952837 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-10-4539-4 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
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999 |
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