Skip to main content. About this product Product Information Image and signal processing techniques are receiving increasing interest because of their numerous real-world applications. Data is w available in different forms, different wavelengths, and even in different dimensions, creating the need for vel multidisciplinary solutions for automated data processing and analysis.
Applied Signal and Image Processing: Multidisciplinary Advancements highlights the growing multidisciplinary nature of signal and image processing by focusing on emerging applications and recent advances in well-established fields. This book covers state-or-the-art applications in both signal and image processing, which include optical communication and sensing, wireless communication management, face recognition and facial imaging, solar imaging and feature detection, fractal analysis, and video processing.
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Enter your login details below. If you do not already have an account you will need to register here. Due to migration of article submission systems, please check the status of your submitted manuscript in the relevant system below:. Once production of your article has started, you can track the status of your article via Track Your Accepted Article. In Pattern Recognition, data representation is very important since this stage is crucial in the success of data classification supervised or unsupervised.
Data-representation also determines the tools that can be used for classification and sometimes new classification tools are specially designed for special data-representations. According to reliable forecasts, the expected number of connected IoT devices could exceed 25 billions by Due to increasing alarming and appalling ailments in human beings, nowadays more effort has been conducted on medical image analysis. Different computerized methods are designed in literature for the identification of diseases related to specific parts of body based on their size, shape and appearance.
But due to scalability and flexibility of existing methods, they do not accurately measure the disease. Because of their over simplified reality and poor detection performance, they never achieved extensive medical adoption. Visual Question Answering VQA is a recent hot topic which involves multimedia analysis, computer vision CV , natural language processing NLP , and even a broad perspective of artificial intelligence, which has attracted a large amount of interest from the deep learning, CV, and NLP communities.
The goal of this Special Issue on Advances on Human Action, Activity and Gesture Recognition AHAAGR is to gather the most contemporary achievements and breakthroughs in the fields of human action and activity recognition under one cover in order to help the research communities to set future goals in these areas by evaluating the current states and trends.
Medical Image Processing: From Formation to Interpretation
Hence, it is of utmost importance to compile the accomplishments and reflect upon them to reach further. Smart Cities aim at improving the daily life of the citizens, by upgrading the services in terms of mobility, communications and power efficiency. Also, by measuring and acquiring the habits of a specific subject, it is meant to offer specific user-oriented services. In this scenario, biometric recognition covers a privileged role.
Researchers worldwide agree with the fact that biometric credentials are difficult to be stolen and do not need to be remembered, so making them suitable for on-the-move authentication or video surveillance applications in smart cities environments. To highlight the importance of cultural heritage assets conservation, and promoting restoration of artworks that would otherwise be lost forever, we propose an international challenge to look for solutions that support image reconstruction after destructive phenomena, such as earthquakes or wars. The goal of Artificial Intelligence AI is to reproduce biological intelligence in the form of adaptive machines.
The path towards this goal is characterized by several steps, among which the integration of the AI with Smart Sensors SS is fundamental. SS and, more generally, Smart Cyber Physical Systems are nowadays significantly impacting the everyday life of citizens and, in perspective, they will become pervasive in every aspect of human life from public health and well-being to home, infrastructures and environment management.
Dr. Cesare Soci
It is only thanks to the integration of AI and SS that computers can increasingly see, hear, touch, smell and taste and so become aware and capable to positively interact with the environment in which they are deployed. The research activity industrial and scientific in AI is still very fragmented. In fact the development of an intelligent system capable of dealing with all the senses and adapting to different contexts is still relatively far.
Furthermore, the results obtained on different sensing areas are still very unbalanced.
Matthew Lew - McKelvey School of Engineering at Washington University in St. Louis
Indeed, the obtained results are impressive for some senses and weak for the others. Into the first category it is possible to include sight with vision systems made by large companies and research institutes , hearing with the speech to text systems of many devices for everyday use and the more general "comprehension". Another important issue is related to the possibility of exploiting collaborative approaches through Distributed Architectures.
Many applications of such an architecture are possible in smart cities, smart industries, smart buildings, etc.
The aim of this Special Issue is to bring together academics and industrial practitioners to exchange and discuss the latest innovations and applications of AI in the domain of SS and DSS. Artificial Intelligence is rapidly contaminating new areas of our life day by day. On the other hand, the management of Cultural Heritage is increasingly in need of new solutions to document, manage and visit even virtually the enormous amount of artifacts and information that come from the past.
The contamination of these two worlds is now a reality and creates the bounds of the main topics of this Virtual Special Issue VSI. Cognitive assistants CA are technologies implemented in personalised intelligent systems, recommender systems, decision support systems, multi-agent systems, robotics, e-health applications, serious or educational games, etc.
Call for Papers
CA are focused on people, providing tools that best fit them in order to:. In this special issue, we invite papers to address many challenges of big multi-source data analysis. Statistical, structural and syntactic pattern recognition are the most classical and important branches of pattern recognition research. They provide the fundamental theory and methods for a number of research areas in pattern detection, machine learning, computer vision, and data mining, leading to successful applications in many tasks such as handwriting and face recognition, image classification, video processing, and so on.
Digital forensic methodologies are widely used in industries to ensure authentication of multimedia data.
Biocybernetics has emerged as a tool to secure systems from cyber threats via biometric based processes. Jointly, digital forensics and biocybernetics can ensure support system for high level security. The mechanisms of digital forensics and biocybernetic technologies presently need human expert interference, and cannot perform in automated way.
Thereby these processes cannot be suited for in large scale industrial need in their present form. Hence a lot of research has been conducted in this domain during last few years, mostly all studies yielding sub-optimal solutions, which still encourages current researchers to conduct further research in this area.
This special issue solicits original research articles, extensive reviews, and case studies in the aforementioned field of research. It is well known fact that medical informatics has grown rapidly in the last one or two decades.