New Approaches for Multidimensional Signal Processing: Proceedings of International Workshop, NAMSP 2022: 332 (Smart Innovation, Systems and Technologies) - Tapa dura

Acerca del autor

Prof. Roumen Kountchev received his M.Sc. and D. Sc. at the Technical University of Sofia, Bulgaria, and his Ph.D. at LEIS, St. Petersburg, Russia. His scientific areas of interest are digital signal and image processing, image compression, multimedia watermarking, video communications, pattern recognition and neural networks. He has 348 papers published in magazines and conference proceedings, 30 books, 43 book chapters and 19 patents (4 international). He had been Principle Investigator of 38 research projects. He is Member of Euro Mediterranean Academy of Arts and Sciences (EMAAS) and President of Bulgarian Association for Pattern Recognition (Member of IAPR); Editorial Board Member of IJBST Journal Group; Member of International Research Institute for Economics and Management (IRIEM), Member of Institute of Data Science and Artificial Intelligence (IDSAI), Member of the Honorable Editorial Board of the nonprofit peer-reviewed open access IJBST Journal Group; Editorial Board Member of Intern. Journal of Reasoning-based Intelligent Systems; Intern. Journal Broad Research in Artificial Intelligence and Neuroscience; KES Focus Group on Intelligent Decision Technologies; Egyptian Computer Science Journal; Intern. Journal of Bio-Medical Informatics and e-Health; and Intern. Journal Intelligent Decision Technologies. He is Editor of books in Springer SIST series.

Prof. Rumen Mironov received his M.Sc. and Ph.D. in Telecommunications from Technical University of Sofia and M.Sc. in Applied Mathematics and Informatics from Faculty of Applied Mathematics and Informatics. He is currently Head of the Department of Radio Communications and Video Technologies at Technical University of Sofia, Bulgaria. His current research focuses on digital signal and image processing, pattern recognition, audio and video communications, information systems, computer graphics and programming languages. He is Member of Bulgarian Association of Pattern Recognition (IAPR) and of Bulgarian Union of Automation and Automation Systems. He is also Editorial Board Member of IJBST Journal Group. He is Author of more than 70 scientific publications and is Co-editor of books published in Springer SIST series.

Dr. Kazumi Nakamatsu received the Ms. Eng. and Dr. Sci. from Shizuoka University and Kyushu University, Japan, respectively. His research interests encompass various kinds of logic and their applications to Computer Science, especially paraconsistent annotated logic programs and their applications. He has developed some paraconsistent annotated logic programs called ALPSN (Annotated Logic Program with Strong Negation), VALPSN (Vector ALPSN), EVALPSN (Extended VALPSN) and bf-EVALPSN (before–after EVALPSN) recently and applied them to various intelligent systems such as a safety verification-based railway interlocking control system and process order control. He is Author of over 150 papers and 20 book chapters and 10 edited books published by prominent publishers.He has served as Editor-in-Chief of the International Journal of Reasoning-based Intelligent Systems (IJRIS) and is now Founding Editor of IJRIS and Editorial Board Member of many international journals. He has contributed numerous invited lectures at international workshops, conferences and academic organizations and is ACM Member.

De la contraportada

This book is a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2022), held at Technical University of Sofia, Sofia, Bulgaria, during 23-25 June 2022. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images and many more.