Deep learning in computer vision: principles and applications
"Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each ind...
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Boca Raton, FL
CRC Press/Taylor and Francis
2020
|
| Ausgabe: | First edition |
| Schriftenreihe: | Digital imaging and computer vision series
|
| Schlagworte: | |
| Zusammenfassung: | "Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition"-- |
| Beschreibung: | xvi, 322 Seiten Illustrationen, Diagramme 24 cm |
| ISBN: | 9781138544420 1138544426 |
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| id | DE-604.BV046723018 |
| illustrated | Illustrated |
| index_date | 2024-07-03T14:34:17Z |
| indexdate | 2024-07-10T08:52:05Z |
| institution | BVB |
| isbn | 9781138544420 1138544426 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032133204 |
| oclc_num | 1164610910 |
| open_access_boolean | |
| owner | DE-573 DE-898 DE-BY-UBR DE-19 DE-BY-UBM |
| owner_facet | DE-573 DE-898 DE-BY-UBR DE-19 DE-BY-UBM |
| physical | xvi, 322 Seiten Illustrationen, Diagramme 24 cm |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | CRC Press/Taylor and Francis |
| record_format | marc |
| series2 | Digital imaging and computer vision series |
| spelling | Deep learning in computer vision principles and applications edited by Mahmoud Hassaballah and Ali Ismail Awad First edition Boca Raton, FL CRC Press/Taylor and Francis 2020 xvi, 322 Seiten Illustrationen, Diagramme 24 cm txt rdacontent n rdamedia nc rdacarrier Digital imaging and computer vision series "Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition"-- Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Deep learning (DE-588)1135597375 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Computer vision Machine learning Maschinelles Sehen (DE-588)4129594-8 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Deep learning (DE-588)1135597375 s Hassaballah, Mahmoud 1974- Sonstige (DE-588)1091568073 oth Awad, Ali Ismail Sonstige (DE-588)1091567212 oth Online version Deep learning in computer vision First edition Boca Raton, FL : CRC Press/Taylor and Francis, 2020 9781351003827 |
| spellingShingle | Deep learning in computer vision principles and applications Maschinelles Lernen (DE-588)4193754-5 gnd Deep learning (DE-588)1135597375 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)1135597375 (DE-588)4129594-8 |
| title | Deep learning in computer vision principles and applications |
| title_auth | Deep learning in computer vision principles and applications |
| title_exact_search | Deep learning in computer vision principles and applications |
| title_exact_search_txtP | Deep learning in computer vision principles and applications |
| title_full | Deep learning in computer vision principles and applications edited by Mahmoud Hassaballah and Ali Ismail Awad |
| title_fullStr | Deep learning in computer vision principles and applications edited by Mahmoud Hassaballah and Ali Ismail Awad |
| title_full_unstemmed | Deep learning in computer vision principles and applications edited by Mahmoud Hassaballah and Ali Ismail Awad |
| title_short | Deep learning in computer vision |
| title_sort | deep learning in computer vision principles and applications |
| title_sub | principles and applications |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd Deep learning (DE-588)1135597375 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
| topic_facet | Maschinelles Lernen Deep learning Maschinelles Sehen |
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