Advances in Deep-Learning-Based Sensing, Imaging, and Video Processing
This Topical Collection focuses on fundamental and applied research on deep learning based visual sensing, imaging and video processing. Deep learning techniques have shown their capabilities to discover knowledge from massive unstructured data, providing data-driven solutions for representation and...
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| Format: | Online |
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| Sprache: | Englisch |
| Veröffentlicht: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Online-Zugang: | ONIX_20250220_9783725817818_28 |
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| _version_ | 1869515366028279808 |
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| collection | Directory of Open Access Books |
| description | This Topical Collection focuses on fundamental and applied research on deep learning based visual sensing, imaging and video processing. Deep learning techniques have shown their capabilities to discover knowledge from massive unstructured data, providing data-driven solutions for representation and decision making. They have demonstrated significant technical advancement potential for many research fields and applications, such as sensors and imaging, audio-visual signal processing, and pattern recognition. Today, with the rapid advancements of advanced deep learning models, such as convolutional neural network (CNN), deep neural network (DNN), recurrent neural network (RNN), generative adversarial network (GAN), and transformer network, learning techniques, such as transfer learning, reinforcement learning, federal learning, multi-task learning, and meta-learning, and the increasing demands around effective visual signal processing, new opportunities are emerging in deep-learning-based sensing, imaging, and video processing. |
| format | Online |
| id | doab-20.500.12854ir-152664 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1526642025-02-20T12:52:37Z Advances in Deep-Learning-Based Sensing, Imaging, and Video Processing Zhang, Yun Kwong, Sam Long, Xu Zhao, Tiesong deep learning neural network image enhancement visual quality assessment image classification visual understanding thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology thema EDItEUR::P Mathematics and Science This Topical Collection focuses on fundamental and applied research on deep learning based visual sensing, imaging and video processing. Deep learning techniques have shown their capabilities to discover knowledge from massive unstructured data, providing data-driven solutions for representation and decision making. They have demonstrated significant technical advancement potential for many research fields and applications, such as sensors and imaging, audio-visual signal processing, and pattern recognition. Today, with the rapid advancements of advanced deep learning models, such as convolutional neural network (CNN), deep neural network (DNN), recurrent neural network (RNN), generative adversarial network (GAN), and transformer network, learning techniques, such as transfer learning, reinforcement learning, federal learning, multi-task learning, and meta-learning, and the increasing demands around effective visual signal processing, new opportunities are emerging in deep-learning-based sensing, imaging, and video processing. 2025-02-20T12:52:34Z 2025-02-20T12:52:34Z 2024 book ONIX_20250220_9783725817818_28 9783725817818 9783725817825 https://directory.doabooks.org/handle/20.500.12854/152664 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/9912 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1782-5 10.3390/books978-3-7258-1782-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725817818 9783725817825 252 Basel open access |
| spellingShingle | deep learning neural network image enhancement visual quality assessment image classification visual understanding thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology thema EDItEUR::P Mathematics and Science Advances in Deep-Learning-Based Sensing, Imaging, and Video Processing |
| title | Advances in Deep-Learning-Based Sensing, Imaging, and Video Processing |
| title_full | Advances in Deep-Learning-Based Sensing, Imaging, and Video Processing |
| title_fullStr | Advances in Deep-Learning-Based Sensing, Imaging, and Video Processing |
| title_full_unstemmed | Advances in Deep-Learning-Based Sensing, Imaging, and Video Processing |
| title_short | Advances in Deep-Learning-Based Sensing, Imaging, and Video Processing |
| title_sort | advances in deep learning based sensing imaging and video processing |
| topic | deep learning neural network image enhancement visual quality assessment image classification visual understanding thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology thema EDItEUR::P Mathematics and Science |
| topic_facet | deep learning neural network image enhancement visual quality assessment image classification visual understanding thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology thema EDItEUR::P Mathematics and Science |
| url | ONIX_20250220_9783725817818_28 |