IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop
23-26 June 2020, Nafplio, Greece
https://2020.ivmsp.org/
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CALL FOR PAPERS
The 2020 IEEE 14th Image, Video, and Multidimensional Signal Processing
Workshop (IVMSP 2020) will be held June 23-26, 2020 in Nafplio, the
capital of the first Hellenic Republic (Greece). It will bring together
leading experts from academia and industry to share the most recent and
exciting advances in image, video, and multidimensional signal
processing and analysis.
IVMSP 2020 is the 14th of the biennial events that are organised by the
Image, Video, and Multidimensional Signal Processing Technical Committee
(IVMSP TC) of the IEEE Signal Processing Society with the aim to promote
and guide the advancement of the field of image, video, and
multidimensional signal processing. This includes those areas listed
under all EDICS categories of the IEEE Transactions on Image Processing
and the IEEE Transactions on Computational Imaging, as well as under the
EDICS subcategory Multidimensional Signal Processing of IEEE
Transactions on Signal Processing.
The program will include presentations of novel research theories /
applications / results in lecture, poster and plenary sessions. A number
of Special Sessions organised by internationally recognised experts in
the area, will be also incorporated.
The theme of IVMSP 2020 is Image and Video in the Big Data Era. Topics
of interest include, but are not limited to:
• Biological and Perceptual-based Processing
• Biometrics, Forensics, and Content Protection
• Colour and Multispectral Processing
• Compression, Transmission, Storage, Retrieval
• Computational Imaging
• Computer Vision Algorithms and Technologies
• Deep learning architectures and pipelines; Dictionary learning;
Reinforcement learning; Interpretable learning; Incremental learning
• Document and Synthetic Visual Processing
• Electronic Imaging
• Filtering, Transforms, Multi-Resolution Processing
• Image and Video Analysis for the Web
• Image Processing for AR/VR Systems
• Image Processing for Autonomous Vehicles
• Light field, point cloud, and holographic imaging
• Medical Image and Video Analysis
• Multi-Temporal and Spatio-Temporal Processing
• Multi-View, Stereoscopic, 360 and 3D Processing
• Multidimensional Signal Processing (Algorithms and transforms;
Applications; Filtering; Signal and system modelling and identification;
Spectral estimation)
• Restoration, Enhancement, Super-Resolution
• Scanning, Display and Printing
• Video Processing and Analytics
• Visual Quality Assessment
PAPER SUBMISSION
The language of the Workshop is English. Prospective authors are invited
to submit full-length papers (up to 4 pages for technical content
including figures, tables, references and one optional 5th page
containing only references). IEEE templates for the paper format, and
“no show” policy apply. Authors should indicate one or more of the above
listed categories that best describe the topic of the paper, as well as
their preference (if any) regarding lecture or poster sessions. Lecture
and poster sessions will be treated equally in terms of the review
process. Submitted papers will be peer-reviewed by at least two experts
in the field. To maximize visibility and impact as early as possible,
all accepted papers will be published in IEEE Xplore through Open
Preview and will be freely accessible and downloadable in final format
beginning one month before the Workshop. In addition to the technical
program, a social program will be offered to the participants and their
companions. It will provide an opportunity to meet colleagues and
friends against a backdrop of outstanding natural beauty and rich
cultural heritage in one of the best-known international tourist
destinations.
IMPORTANT DATES
• Submission of full papers – March 20, 2020
• Notification of acceptance – April 20, 2020
• Author advance registration – May 2, 2020
• Camera-ready paper submission – May 2, 2020
COMMITTEES
CPS&IoT’2020 – the 8th International Conference on Cyber-Physical Systems and Internet-of-Things
February 6th, 2020 
Daniela Lopez de Luise
Dear Colleague,
Please find the Call for Papers of CPS&IoT’2020 – the 8th International Conference on Cyber-Physical Systems and Internet-of-Things, Budva, Montenegro, 8-11 June, 2020 attached to this e-mail.
Please distribute this Call among colleagues and Ph.D. students in your research team, projects in which you participate, and your country.
Please be informed that the CPS&IoT’2020 Conference will host prestigious keynote speakers, as Professor Alberto Sangiovanni-Vincentelli from UC Berkeley and Prof. Ralf G. Herrtwich, Senior Director at NVIDIA.
Please also be informed that CPS&IoT'2020 Conference is collocated with CPS&IoT’2020 Summer School and MECO'2020 Conference – the 9th Mediterranean Conference on Embedded Computing. Together they constitute a major Europe based conference event in CPS&IoT. CPS&IoT’2020 Summer School is the second of the series of schools started with a very successful CPS&IoT’2019 Summer School. Distinguishing features of this advanced Summer School are that its lectures, demonstrations, and practical hands-on sessions will be given by top specialists in particular CPS and IoT fields form industry and academia, and will deliver very fresh advanced knowledge. They are based on results from numerous currently running or recently finished international and European R&D projects in CPS and IoT. Soon you will receive from me the Call for Participation in the CPS&IoT’2020 Summer School.
You are encouraged to submit your papers to the CPS&IoT’2020 Conference and participate in the collocated CPS&IoT’2020 Summer School.
Best regards,
Lech Jozwiak
Program Chairman of the CPS&IoT’2020 Conference
CPSIoT2020-Conf-CfP-v4.pdfComputer Vision for Agriculture (CV4A) Workshop at ICLR 2020
February 6th, 2020 Daniela Lopez de Luise CALL FOR PAPERS
ICLR 2020 Workshop on Computer Vision for Agriculture (CV4A)
April 26 2020, Addis Ababa, Ethiopia
Conference Website: https://www.cv4gc.org/cv4a2020
— In conjunction with the International Conference on Representation Learning (ICLR) 2020
IMPORTANT DATES
Paper submission deadline : February 14, 2020
Notification of acceptance : February 25, 2020
Workshop : April 26, 2020
Challenge close : Mid-March 2020
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Artificial intelligence has invaded the agriculture field during the last few years. From automatic crop monitoring via drones, smart agricultural equipment, food security and camera-powered apps assisting farmers to satellite imagery based global crop disease prediction and tracking, computer vision has been a ubiquitous tool. This workshop aims to expose the fascinating progress and unsolved problems of computational agriculture to the AI research community. It is jointly organized by AI and computational agriculture researchers and has the support of CGIAR, a global partnership that unites international organizations engaged in agricultural research for a food-secure future.
Computer Vision for Agriculture (CV4A) is the second workshop of the Computer Vision for Global Challenges initiative and will focus on agriculture. It will be held in April 2020, in conjunction with the International Conference on Representation Learning (ICLR), in Addis Ababa, Ethiopia. It will be a full-day event and will feature invited speakers, poster and spotlight presentations, a panel discussion and (tentatively) a mentoring/networking dinner.
CHALLENGES AND COMPETITIONS
CV4A will feature two open challenges, both hosted on the African platform Zindi:
* The CGIAR Wheat Rust Detection Challenge
* The Radiant Earth Foundation Crop Classification using Earth Observations Challenge
Both challenges will feature cash prizes and travel grants for the top performing submission, as well as the top performing submission from an African researcher and the top performing submission from a female-identified African researcher. More details coming soon!
CALL FOR PAPERS
We invite researchers to submit their recent work on Computer Vision applications, tasks and challenges inspired by and applied to agriculture, with a special focus on developing regions. Topic include but are not limited to:
– Crop health (pests, diseases, plant nutrient deficiencies) and crop yield estimation.
– Crop type recognition from ground and/or satellite imagery. Such data can be used to target interven- tions, assess risk, evaluate the impact of programs.
– Artificial intelligence for bottom-up, farmer-led crop improvement.
– Hyper-spectral (e.g. NIR, MIR, x-ray fluorescence) imaging for detecting early-stage or physiological issues in crops (e.g. photosynthetic activity, water stress, nutrient stress).
– Whole-field, multi-view crop diagnostics.
– Computer vision methods for food security, index insurance, drought/flood early warning systems.
– Multi-modal integration of data from diverse sensors.
– Crowdsourcing agricultural data.
– Papers will be presented as poster and oral presentations. There will be some travel support to presenters.
Researchers based in developing regions are strongly encouraged to submit
PAPER SUBMISSION
Up to four pages papers in PDF format, with unlimited pages for references. To prepare your submission to the CV4A workshop, please use the ICLR 2020 LaTex style files. The review process is double-blind.
Submissions will be handled via CMT: https://cmt3.research.microsoft.com/CV4A2020
PEOPLE
– Workshop organizers
Yannis Kalantidis (Naver Labs Europe)
Laura Sevilla-Lara (University of Edinburgh)
Ernest Mwebaze (Google AI Ghana)
Dina Machuve (Nelson Mandela African Institution of Science and Technology)
– Challenge Organizers
Hamed Alemohammad (Radiant Earth Foundation)
David Guerena (CIMMYT)
– Essential Collaborators
Drew Westbury (Facebook)
Celina Lee (Zindi)
Jamie Yang (Facebook)
Brian King (CGIAR Platform for Big Data in Agriculture)
Lorenzo Torresani (Facebook AI and Dartmouth)
Timnit Gebru (Google AI)
John Quinn (Makerere University & Google AI Ghana)
Larry Zitnick (University of Washington & Facebook AI)
Jitendra Malik (UC Berkeley & Facebook AI)
CALL FOR PAPERS | DEMOS | DOCTORAL CONSORTIUM :: SUBMISSIONS DEADLINE APPROACHING!
February 6th, 2020 Daniela Lopez de Luise
IWBF 2020 | 8th International Workshop on Biometrics and Forensics | April 29-30, 2020 | Porto, Portugal
The International Workshop on Biometrics and Forensics (IWBF) is devoted to facilitating synergies in research and
development among the areas of multimedia forensics, forensic biometrics, and forensic science.
IWBF 2020 is jointly organized by EAB; INESC TEC, Porto, Portugal and NTNU, Gjovik, Norway.
For more information please visit vcmi.inesctec.pt/iwbf2020
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IMPORTANT DATES
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Papers / Demos / Doctoral Consortium Submission Deadline: February 15, 2020
Demos Decision Notification: February 29, 2020
Papers/ Doctoral Consortium Decision Notification: March 05, 2020
Demo Session / Doctoral Consortium: April 29, 2020
Conference: April 29-30, 2020
The paper submission platform is already open. Don't miss the deadline and submit your work!
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IWBF 2020 SPEAKERS
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Peter Eisert, Humboldt University Berlin & Fraunhofer Institute for Telecommunications – HHI Berlin
Zeno Geradts, Netherlands Forensic Institute & University of Amsterdam
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EXTENDED VERSIONS & PRIZES
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Extended versions:
Authors of the best papers will be invited to publish extended versions in a special issue in IEEE TBIOM.
Awards:
The best IWBF 2020 paper will be awarded a monetary prize – "Computers Journal Best Paper Award" – sponsored by
MDPI's Computers.
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DEMOS SESSION & DOCTORAL CONSORTIUM
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Demos:
The IWBF 2020 organisers invite academia, industry researchers and practitioners to showcase their work in biometrics and
forensics through demonstrations. We are searching for interactive displays of innovative methods, systems and applications
within the workshop’s topics of interest.
The accepted submissions will be published in the workshop proceedings at IEEE Xplore Digital Library.
Questions about the Demos should be addressed by email to Demo Chair, João Ribeiro Pinto (joao.t.pinto@inesctec.pt).
Doctoral Consortium:
The IWBF Doctoral Consortium is a great opportunity for current/prospective Ph.D. students to present their ideas and/or
ongoing research, meet other researchers and obtain feedback from well-known advisers about possible directions for their
future research.
One mentor will be nominated for each candidate/student and the discussions will be organized into both bilateral and
multilateral meetings.
The accepted submissions will be presented at the Doctoral Consortium and published in the workshop proceedings at
IEEE Xplore Digital Library.
Questions about the Doctoral Consortium should be addressed by email to Program Chair & Doctoral Consortium Chair,
Hugo Proença (hugomcp@di.ubi.pt).
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TOPICS OF INTEREST
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– Multimedia forensics including identification of source devices and source-oriented image clustering;
– Integrity verification and authentication of digital content;
– Watermarking schemes for ownership identification, ownership proof, and copy control;
– Forensic behavioural biometrics;
– People identification based on face, iris, fingerprint and soft biometric traits;
– Biometric analysis of crime scene traces and their forensic interpretation;
– Combination of multimodal biometrics with other forensic evidence;
– Biometric-based cybercrime investigation;
– Video surveillance for estimation of age, gender and others such as abnormal behaviour/event detection;
– Biometric and non-biometric data de-identification;
– Resilience of biometric systems to presentation and morphed attacks;
– Detection and mitigation of adversarial attacks on biometric systems;
– Explainable AI in biometric recognition and presentation attack detection;
– Ethical and societal implications of emerging biometrics and forensics modalities;
– Emerging threats on biometrics such as Deepfake attacks and detection methods;
– Large-scale deployment of biometric recognition systems;
– Case studies of the aforementioned topics.
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CONTACTS
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General Chair & Academic Questions
Jaime S. Cardoso (jaime.cardoso@inesctec.pt)
University of Porto & INESC TEC, Porto, Portugal
Workshop Local Organisation
Ana Filipa Sequeira (ana.f.sequeira@inesctec.pt)
INESC TEC, Porto, Portugal
Call of papers MetroInd4.0&IoT Rome – Special session 12 “RGB-D SENSORS AND APPLICATIONS FOR INDUSTRY4.0 AND IoT”
February 4th, 2020 Daniela Lopez de Luise SPECIAL SESSION WEBSITE: http://www.metroind40iot.org/special-session-12
SUBMISSION DEADLINE: 25/02/2020
ABSTRACT
RGB-D sensors, combining both video- and depth-based sensing capabilities, can facilitate several applications, like the detection and understanding of human movements, actions and activities, and the interactions between humans and surrounding environment and objects. The joint availability of synchronized video signals and depth measurement information, from easy-to-use and low-cost sensors, helps to improve the performance of automatic classification and recognition algorithms, supporting crucial processes such as the extraction of skeletal joints and human silhouette, with increased accuracy and reducing their dependence from shadows, light reflections and color similarity.
This Special Session aims to promote research contributions on RGB-D sensors as measurement devices applied in the context of Industry 4.0, focusing on the characterization and assessment of their performance in different operating conditions, especially related to challenging deployments “in the wild”. How the quality and reliability of the measured data influence the performance of machine learning approaches is of utmost interest, as well as the investigation of new and innovative research ideas in which RGB-D sensors may provide a basic contribution. New theoretical approaches, experimental tests, and assessment in real-world use cases, are of interest.
TOPICS
Submissions are welcomed on (but not limited to):
- RGB-D based measurements in Industry4.0
- Vision and Depth system-based Robotics and Smart Manufacturing
- Innovative calibration methods
- Deep Learning based applications using RGB-D measurement data
- RGB-D and wearable sensors fusion
- RGB-D based contactless measurement systems
- Metrological characterization of RGB- D sensors for human monitoring
- RGB-D based applications for the monitoring of human-robot interactions
- Metrics, algorithms and signal processing techniques
- Innovative applications of RGB-D sensors and practical solutions
- Reliability, validity, and accuracy of RGB-D sensors and measuring systems
Dr. Eng. Ph.D. Simone Pasinetti
University of Brescia
Vis4Mechs – Lab.
Dept. of Mechanical and Industrial Engineering (DIMI)
E-mail: simone.pasinetti@unibs.it
Website: http://vis4mechs.unibs.it/
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