Image and Video Processing and Recognition Based on Artificial Intelligence (Volume II)
This reprint focuses on challenging issues in the field of AI-based image and video processing and recognition, including the topics of AI-based image processing, understanding, recognition, compression, and reconstruction; AI-based video processing, understanding, recognition, compression, and reco...
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Format: | Electronic Book Chapter |
Language: | English |
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Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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020 | |a 9783036576022 | ||
020 | |a 9783036576039 | ||
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024 | 7 | |a 10.3390/books978-3-0365-7603-9 |c doi | |
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072 | 7 | |a TB |2 bicssc | |
072 | 7 | |a TBX |2 bicssc | |
072 | 7 | |a KNB |2 bicssc | |
100 | 1 | |a Park, Kang Ryoung |4 edt | |
700 | 1 | |a Lee, Sangyoun |4 edt | |
700 | 1 | |a Kim, Euntai |4 edt | |
700 | 1 | |a Park, Kang Ryoung |4 oth | |
700 | 1 | |a Lee, Sangyoun |4 oth | |
700 | 1 | |a Kim, Euntai |4 oth | |
245 | 1 | 0 | |a Image and Video Processing and Recognition Based on Artificial Intelligence (Volume II) |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
300 | |a 1 electronic resource (382 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a This reprint focuses on challenging issues in the field of AI-based image and video processing and recognition, including the topics of AI-based image processing, understanding, recognition, compression, and reconstruction; AI-based video processing, understanding, recognition, compression, and reconstruction; computer vision based on AI; AI-based biometrics; AI-based object detection and tracking; approaches that combine AI techniques and conventional methods for image and video processing and recognition; explainable AI (XAI) for image and video processing and recognition; generative adversarial network (GAN)-based image and video processing and recognition; and approaches that combine AI techniques and blockchain methods for image and video processing and recognition. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Technology: general issues |2 bicssc | |
650 | 7 | |a History of engineering & technology |2 bicssc | |
650 | 7 | |a Energy industries & utilities |2 bicssc | |
653 | |a Finger-vein recognition | ||
653 | |a motion blur image restoration | ||
653 | |a modified DeblurGAN | ||
653 | |a CNN | ||
653 | |a deep learning | ||
653 | |a stress recognition | ||
653 | |a stress database | ||
653 | |a spatial attention | ||
653 | |a temporal attention | ||
653 | |a facial landmark | ||
653 | |a pose estimation | ||
653 | |a convolutional neural network | ||
653 | |a lightweight | ||
653 | |a knowledge distillation | ||
653 | |a histogram oriented graphic | ||
653 | |a multi-camera multi-object tracking | ||
653 | |a detection quality | ||
653 | |a traffic sign recognition | ||
653 | |a sliding windows | ||
653 | |a meta learning | ||
653 | |a classification | ||
653 | |a construction sign detection | ||
653 | |a image synthesis | ||
653 | |a cut-and-paste | ||
653 | |a perspective transformation | ||
653 | |a group-sparsity loss | ||
653 | |a temporal attention module | ||
653 | |a video-based pedestrian-attribute recognition | ||
653 | |a gait recognition | ||
653 | |a self-supervised learning | ||
653 | |a multi-task learning | ||
653 | |a weakly-supervised learning | ||
653 | |a biometrics | ||
653 | |a cross-sensor fingerprints | ||
653 | |a fingerprint enhancement | ||
653 | |a cGAN | ||
653 | |a adversarial learning | ||
653 | |a video summarization | ||
653 | |a spatial-temporal features | ||
653 | |a cross-attention | ||
653 | |a adaptive video streaming | ||
653 | |a A-LSTM networks | ||
653 | |a bit rate measurement | ||
653 | |a client-server model | ||
653 | |a HTTP | ||
653 | |a reference metrics | ||
653 | |a video quality | ||
653 | |a image deraining | ||
653 | |a neural network | ||
653 | |a vision transformer | ||
653 | |a generative adversarial network | ||
653 | |a computer vision | ||
653 | |a information retrieval | ||
653 | |a content-based video retrieval | ||
653 | |a anomaly detection | ||
653 | |a generation error | ||
653 | |a feature trajectory smoothness | ||
653 | |a surveillance video | ||
653 | |a facial expression recognition | ||
653 | |a spatial transformation network | ||
653 | |a attention mechanism | ||
653 | |a triplet loss function | ||
653 | |a intra-similarity problem | ||
653 | |a breast cancer | ||
653 | |a ultrasonography | ||
653 | |a autoencoder | ||
653 | |a brain image registration | ||
653 | |a generation adversarial network | ||
653 | |a hand detection | ||
653 | |a hand classification | ||
653 | |a YOLO-family networks | ||
653 | |a convolutional neural networks (CNNs) | ||
653 | |a egocentric vision | ||
653 | |a unsupervised learning | ||
653 | |a reinforcement learning | ||
653 | |a piecewise linear interpolation | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/7341 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/100877 |7 0 |z DOAB: description of the publication |