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Journal of Signal Processing Systems

for Signal, Image, and Video Technology (formerly the Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology)

Publishing model:
Hybrid

Journal of Signal Processing Systems - Call for Papers: Embedded Image Processing Systems

Guest editors

Dr Deepayan Bhowmik, Newcastle University, UK, d.bhowmik@ieee.org (this opens in a new tab) Dr Deepayan Bhowmik is a Senior Lecturer (Associate Professor) in the School of Computing at Newcastle University, United Kingdom. His research expertise includes fundamental image/signal processing, embedded imaging on heterogeneous hardware and related applications, e.g., multimodal remote sensing for environmental monitoring, media security, embedded food recognition etc. Dr Bhowmik received his PhD in Electronic and Electrical Engineering (image processing major), from the University of Sheffield, UK in 2011. Previously he worked at the University of Sheffield and Heriot-Watt University, Edinburgh, UK as research associate, and Sheffield Hallam University and University of Stirling, UK as lecturer in computing. He received a prestigious Dorothy Hodgkin postgraduate award and multiple research grants from various UK research councils, EU, and industry.

Dr Kofi Appiah, University of York, UK, kofi.appiah@york.ac.uk (this opens in a new tab) Dr Kofi Appiah is a Lecturer in the Department of Computer Science at University of York, United Kingdom. His research interests include neuromorphic hardware, in particular on-chip hardware spiking neural networks, implemented on FPGAs, and the modelling of visual systems in primates and other smaller organisms. Dr Appiah received his PhD in Computer Science (embedded computer vision major), from the University of Lincoln, UK in 2010. Previously he worked at the Aston University (Photonics Research Group), Durham University (Computer Vision Group) and University of Essex (Embedded and Intelligent Systems Group) as a researcher before join Nottingham Trent University then Sheffield Hallam University as a lecturer.

Scope

Scene interpretation and prompt reaction to an interesting event is a critical feature for any time critical computer vision systems for safe and reliable interaction with the environment. The deployment scenarios include applications such as mobile robotics, autonomous cars, mobile and wearable devices, or public space surveillance (airport / railway station). Modern vision systems which play a significant role in such interaction require in-situ fast processing capabilities operating at low power.

Recent developments in image processing embedded systems show promises in addressing these needs. Such developments include FPGA accelerators, embedded GPUs (e.g., NVIDIA Jetson series), Raspberry Pi-based vision solutions, and dedicated computer vision and machine learning hardware (e.g., OAK-D, Intel Neural Computing Stick, Google Coral TPU). However, multiple research questions are still to be addressed in order to propose efficient embedded imaging solutions.    

This special issue is aimed at bringing together recent advances in image processing/computer vision realisations on embedded systems. The issue will consist of approximately six to eight invited papers on the following topics (not limited to) relating to image processing/computer vision:     

  • Efficient algorithm implementation/adaptation for target hardware
  • Low power hardware architecture
  • Heterogeneous architecture
  • System implementation on embedded CPUs, GPUs or FPGAs
  • Accelerators on FPGAs
  • Design and development of coprocessor
  • Smart camera architecture
  • Domain-specific optimisations and parallel processing
  • Computational models including domain-specific languages and compilers

Timeline:

  • Manuscripts submission: 15th January 2023
  • First notification to authors:  15th March 2023
  • Revised manuscript submission: 28th May 2023
  • Final notification to authors: 31st July 2023
  • Special Issue Publication: November 2023

Submission guidelines

Papers must be prepared in accordance with the Journal guidelines: https://www.springer.com/journal/11265/submission-guidelines (this opens in a new tab)  

Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. Manuscripts will be subject to a peer reviewing process and must conform to the author guide lines available on the JSPS website at: https://www.springer.com/11265 

Author Resources

Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by other journals.  

Springer provides a host of information about publishing in a Springer Journal on our Journal Author Resources (this opens in a new tab) page, including  FAQs (this opens in a new tab),  Tutorials (this opens in a new tab)  along with  Help and Support. (this opens in a new tab)

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