A parallel computing framework for real-time moving object detection on high resolution videos
Authors (first, second and last of 4)
Collection
Scalable Computing for Large-Scale Multimedia Data Analytics
Scalability is a core facet of large-scale multimedia data analytics in which scalable massive data processing can be accomplished by parallel architectures that take advantage of high-performance computer systems, cloud computing, and storage infrastructure.
The scalable computing industry has rapidly grown and advanced, and has now reached a stage where emerging challenges and developments need a technical forum in which they can be discussed. This special issue of the Journal of Intelligent Information Systems entitled Scalable Computing for Large-Scale Multimedia Data Analytics aims to showcase and disseminate research addressing current and future parallel computation, focusing specifically on designing algorithms, introducing and implementing parallel and distributed architectures, and using the distributed and parallel machine to solve real-life problems for Large-Scale Multimedia Data Analytics.
Editors
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Dr. Marimuthu Karuppiah
Marimuthu Karuppiah is an Associate Professor at the SRM Institute of Science & Technology, Chennai. Prior he was an Associate Professor of Computer Science at VIT University. His current research interests include cryptography, wireless sensor network security, mobile ad hoc network security, vehicular ad hoc network security, and remote user authentication using smart cards. He has authored over 50 papers in reputed international and conferences and is a life member of Cryptology Research Society of India (CRSI) and Computer Society of India (CSI). He is also a professional member of IEEE and Association for Computing Machinery (ACM).
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Dr. Shehzad Ashraf Chaudhry
Shehzad Ashraf Chaudhry received his Master’s and Ph.D. degrees (Hons.) from the International Islamic University Islamabad, Pakistan, in 2009 and 2016, respectively. He is currently working as an Associate Professor with the Department of Computer Engineering, Faculty of Engineering and Architecture, Istanbul Gelisim University, İstanbul, Turkey. He has authored over 100 scientific publications appeared in different international journals and proceedings, including more than 73 in SCIE-indexed journals.
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Dr. Mohammed H. Alsharif
Mohammed H. Alsharif received his M.Sc. Eng. and Ph.D. degrees in electrical engineering (wireless communication and networking) from the National University of Malaysia in 2012 and 2015, respectively. He joined Sejong University in 2016, where he is currently an Assistant Professor of Electrical Engineering. His current research interests include wireless communications and networks, including wireless communications, network information theory, the Internet of Things (IoT), green communication, energy-efficient wireless transmission techniques, wireless power transfer, and wireless energy harvesting.
