Reprint

Image and Video Processing and Recognition Based on Artificial Intelligence (Volume II)

Edited by
May 2023
382 pages
  • ISBN978-3-0365-7602-2 (Hardback)
  • ISBN978-3-0365-7603-9 (PDF)

This is a Reprint of the Special Issue Image and Video Processing and Recognition Based on Artificial Intelligence-2nd Edition that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary

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.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
Finger-vein recognition; motion blur image restoration; modified DeblurGAN; CNN; deep learning; stress recognition; stress database; spatial attention; temporal attention; facial landmark; pose estimation; convolutional neural network; lightweight; knowledge distillation; convolutional neural network; histogram oriented graphic; multi-camera multi-object tracking; detection quality; traffic sign recognition; sliding windows; meta learning; deep learning; classification; construction sign detection; image synthesis; cut-and-paste; perspective transformation; deep learning; group-sparsity loss; temporal attention module; video-based pedestrian-attribute recognition; gait recognition; self-supervised learning; pose estimation; multi-task learning; weakly-supervised learning; biometrics; cross-sensor fingerprints; fingerprint enhancement; cGAN; adversarial learning; deep learning; video summarization; spatial–temporal features; cross-attention; adaptive video streaming; A-LSTM networks; bit rate measurement; client–server model; HTTP; reference metrics; video quality; deep learning; image deraining; neural network; vision transformer; generative adversarial network; computer vision; information retrieval; content-based video retrieval; anomaly detection; generation error; feature trajectory smoothness; surveillance video; facial expression recognition; spatial transformation network; attention mechanism; triplet loss function; intra-similarity problem; breast cancer; ultrasonography; deep learning; anomaly detection; autoencoder; brain image registration; generation adversarial network; deep learning; hand detection; hand classification; YOLO-family networks; convolutional neural networks (CNNs); egocentric vision; video summarization; unsupervised learning; reinforcement learning; piecewise linear interpolation