Signal, Image and Video Processing: Development and Applications

Dear Colleagues,

Modern complex systems are required to have humanoid intelligence and ability, and vision is an indispensable technical means for complex systems to achieve automation and intelligence. Vision carries rich information regarding a system and its operating environment in the form of signals, images and videos, and through information mining, valuable information or knowledge can be obtained to support the implementation of the automation and intelligence of complex systems. Due to the complexity of the system, the variability and harshness of the operating environment, and the diversity of perception tasks, visual perception faces many challenges in data processing, model development, knowledge expression, etc. This prompts academic researchers and engineering practitioners to make unremitting efforts to promote the development of visual perception technology and its application in various fields.

This Special Issue aims to alleviate the contradiction between the increasing actual demand for visual perception and the backward visual perception technology and focuses on, but is not limited to, advanced machine-learning- and deep-learning-related signal, image, and video-processing technologies. The related topics are data acquisition, data quality enhancement, segmentation, representation and description, feature matching, motion tracking, etc., and technologies related to large-scale/lightweight deep neural networks, domain adaption, and transfer learning with industrial applications are preferred. This Special Issue provides a platform for researchers and practitioners to present original and innovative results regarding new models and methods and engineering solutions.

Prof. Dr. Xianqiang Yang
Prof. Dr. Changxing Ding
Dr. Zhihao Zhang
Guest Editors

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