Computer vision, video analytics, video summarization, cybersecurity and information security are transformative emerging domains with broad application opportunities across different areas and industries. Computer vision, displaying its applications particularly in medical imaging, facial recognition and autonomous vehicles, allows machines to interpret visual information from the relevant setting and environment. Correspondingly, video analytics, as a subset of computer vision, carries out the processing of video feeds for detecting events, behaviors or patterns on a real-time basis. Its uses span across traffic management, optimization and security monitoring. Closely related to these means and systems is information security which is oriented toward the protection of sensitive data from possible unauthorized access so that data integrity, confidentiality and availability can be ensured and maintained. Video summarization, on the other hand, comes to the fore as a technique used for condensing video content into key highlights or frames, which will improve video storage and browsing efficiency.
Deep learning, which is an advanced subdomain of Artificial Intelligence (AI), employs neural networks for analyzing and learning from big datasets, having extensive impacts on the fields of image recognition, predictive modeling and natural language processing (NLP). Furthermore, Explainable Artificial Intelligence (XAI) whose focus is on creating AI systems with decision-making processes that can be understood and interpreted by humans with clear explanations for outputs or predictions of AI systems generated by machine learning algorithms has become another emerging branch related to AI.
Emerging alongside the use of deep learning in the decision-making processes is the field of adversarial machine learning, which investigates how deep learning models can be deceived by crafted inputs and how robust models can be designed to defend against such threats. This area has become especially crucial in safety-critical systems such as healthcare diagnostics, autonomous driving and facial recognition, where adversarial attacks can have serious consequences.
The benefits and uses of these technologies are influential in diverse systems, some of which are healthcare, autonomous systems, legal systems, surveillance systems, customer services, media, education, AI development, algorithm refining and cybersecurity, which find their applications implemented in medicine, neuroscience, psychiatry, engineering, mathematics, applied sciences, biology, physics, data and computer science, finance, among many others.
In view of these cutting-edge technologies and emerging intelligent systems, the aim of our special issue is to pave the way for driving innovations in smart technologies, and personalized services while exemplifying their potential in interacting with and interpreting real-world occurrences based on accuracy and precision.
The topics include but are not limited to: