Sixth IEEE International Conference on Multimedia Information
Processing and Retrieval (MIPR 2023)
30 August – 1 September 2023, Singapore
http://ieee-mipr.org/
The Sixth IEEE International Conference on Multimedia Information
Processing and Retrieval (IEEE MIPR 2023) will take place both
physically and virtually, August 30 – September 1, 2023, in
Singapore. The conference will provide a forum for original research
contributions and practical system design, implementation, and
applications of multimedia information processing and retrieval.
Topics (Please see http://ieee-mipr.org/call_papers.html).
Topics of interest include, but are not limited to:
1. Multimedia Retrieval
2. Machine Learning/Deep Learning/Data Mining
3. Content Understanding and Analytics
4. Multimedia and Vision
5. Networks for Multimedia Systems
6. Systems and Infrastructures
7. Data Management
8. Novel Applications
9. Internet of Multimedia Things
and others.
Paper Submission:
The conference will accept regular papers (6 pages), short papers (4
pages), and demo papers (4 pages). Authors are encouraged to compare
their approaches, qualitatively or quantitatively, with existing work
and explain the strength and weakness of the new approaches. We are
planning to invite selected submissions to journal special issues.
Instructions and a link to the submission website are available here:
https://cmt3.research.microsoft.com/MIPR2023
Important Dates (http://ieee-mipr.org/dates.html):
– Regular Paper (6 pages) and Short Paper (4 pages) Submission Due:
April 19, 2023
– Notification of Decision: May 25, 2023
– Camera-ready deadline: July 10, 2023
– Conference Date: August 30-Sep 1, 2023
Last call: AI100 Essay Contest – due March 31st
March 28th, 2023 
Daniela Lopez de Luise The One Hundred Year Study on Artificial Intelligence (AI100) is a
longitudinal study of progress in AI and its impacts on society. A key
feature of the 2021 AI100 report was its commentary on what had changed
since the first report published in 2016.
As a way of laying the groundwork for the next report, planned for 2026,
the AI100 Standing Committee invites original essay submissions that
react directly to one or both of the AI100 reports. Essay application is
now open and will close on March 31, 2023.
Apply here: https://ai100.stanford.edu/prize-competition
___
Professor Peter Stone
Truchard Foundation Chair in Computer Science
University Distinguished Teaching Professor
Director, Texas Robotics
Associate Chair, Department of Computer Science office: 512-471-9796
The University of Texas at Austin mobile: 512-810-3373
2317 Speedway, Stop D9500 pstone@cs.utexas.edu
Austin, Texas 78712-1757 USA http://www.cs.utexas.edu/~pstone
ICCNS2023: The International Conference on Intelligent Computing, Communication, Networking and Services, June 19-22, 2023 – Valencia, Spain
March 28th, 2023 Daniela Lopez de Luise
The International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2023)
https://intelligenttech.org/ICCNS2023/
June 19-22, 2023 – Valencia, Spain
(Technically Co-Sponsored by IEEE-Spain Section)
Call for Papers:
New advancements in wireless communication systems such as Fifth-Generation (5G), Beyond Fifth-Generation (B5G), and Sixth-Generation (6G) networks will allow for new and unprecedented services to be made available for users with nearly unlimited capacity. These services will be the core driver for future digital transformation of our cities and communities. This will be accompanied by a ubiquitous deployment of Internet of Things (IoT) infrastructure and supported by computing capacity that will be available at the edge of the network and in the cloud. This computing infrastructure will handle the processing of data generated by users and services. Such a complex and diverse system will require the applications running on the computing/networking infrastructure to be Intelligent, efficient and sustainable. Additionally, the infrastructure will require smart control and automation systems to integrate and manage its different components. Artificial Intelligence (AI) and its applications will play a significant role in the design, deployment, automation, and management of future services. This will include applications that will be running on the edge and on cloud servers, networking applications to handle the flow of data between the users and the computing system, and intelligent automation and management software operating on the system. The International Conference on Intelligent Computing, Networking, and Services is aiming to provide an opportunity to present state of the art research in the intersections of Computing, Networking, and Services that are supported by Artificial Intelligence.
Submission Link: https://easychair.org/conferences/?conf=iccns2023
Researchers from both the industry and academia are encouraged to submit their original research contributions in all major areas, which include, but are not limited to the following main tracks:
- Track 1: Artificial Intelligence Fundamentals
- Track 2: Intelligent Internet of Things and Cyber-Physical Systems
- Track 3: Edge Intelligence and Federated Learning
- Track 4: Intelligent Big Data Management and Processing
- Track 5: Intelligent Security and Privacy
- Track 6: Blockchain Research & Applications for Intelligent Networks and Services
Submission Guidelines:
Submitted papers (.pdf format) must use the A4 IEEE Manuscript Templates for Conference Proceedings. Please remember to add Keywords to your submission. Submitted papers may be 6 to 8 pages including all figures and references. Overlength papers will be rejected without review. Paper submissions must conform with the “double-blind” review policy. This means that the authors should not know the names of the reviewers of their papers, and reviewers should not know the names of the authors. Please prepare your paper in a way that preserves anonymity of the authors. Papers submitted to ICCNS must be the original work of the authors. That may not be simultaneously under review elsewhere. Publications that have been peer-reviewed and have appeared at other conferences or workshops may not be submitted to ICCNS . Authors should be aware that IEEE has a strict policy with regard to plagiarism https://www.ieee.org/publications/rights/plagiarism/plagiarism-faq.html The authors' prior work must be cited appropriately. All papers that are accepted, registered, and presented in ICCNS 2023 and the workshops co-located with it will be submitted to IEEEXplore for possible publication.
Important Dates
- Full paper submission: March 31st, 2023 (Extended)
- Full paper acceptance notification: May 6th, 2023
- Full paper camera-ready submission: May 20th, 2023
For any inquiries, please contact: intelligenttechorg@gmail.com.
Best regards,
ICCNC organizing committee
CFP (03/24/2023) – The 6th International Workshop on BLockchain Enabled Sustainable Smart Cities (BLESS 2023)
March 28th, 2023 Daniela Lopez de Luise Paper Submission: March 24th, 2023
Scope:
BLESS’2023 will bring researchers and experts together to present and discuss the latest developments and technical solutions concerning various aspects of blockchain technology in the context of smart cities. BLESS’2023 seeks original unpublished papers focusing on theoretical analysis, emerging applications, novel system architecture construction and design, experimental studies, and social impacts of blockchain. Both review/survey papers and technical papers are encouraged. BLESS’2023 also welcomes short papers that summarize speculative breakthroughs, work-in-progress, industry-featured projects, open problems, new application challenges, visionary ideas, and preliminary studies.
The topics include but are not limited to:
– Blockchain-based cyber-physical systems for smart cities
– Blockchain based information hiding/encryption in smart cities
– Blockchain based lightweight algorithms and protocols for IoT
– Blockchain based security and privacy solutions for smart cities
– Blockchain enabled novel applications and services in smart cities
– Smart contract and distributed ledger for smart cities
– Security, privacy, and trust of blockchain-based decentralized systems
– Blockchain in critical infrastructure resilience (power grid, oil, and gas, etc)
– Blockchain for supply chain protection
– Blockchain for networked identity management
– Scalability of Blockchain
– Secure Blockchain-based identity management systems
– Interoperable Blockchain systems
– Blockchain infrastructure for public transit management
– Blockchain for social impact
– Blockchain based voting systems for urban and regional planning decisions
– Blockchain for universal data storage
– Keyless signature interfaces
Submitted manuscripts must be formatted in standard IEEE camera-ready conference format (double-column, 10-pt font) and must be submitted via Easychair (https://easychair.org/conferences/?conf=icccn2023) as PDF files (formatted for 8.5×11-inch paper). The manuscripts should be no longer than 7 pages. No extra pages will be allowed. Submitted papers cannot have been previously published in or be under consideration for publication in another journal or conference. The workshop Program Committee reserves the right to not review papers that either exceed the length specification or have been submitted or published elsewhere. Submissions must include a title, abstract, keywords, author(s), and affiliation(s) with postal and e-mail address(es). Detailed info can be found in each workshop’s Call for Papers (http://www.icccn.org/icccn23/workshop/list-of-workshops/). For any questions or additional information, please contact the Workshop General or Workshop Program Chairs.
Review and Publication of Manuscripts:
Submitted papers will be reviewed by the TPC and judged on originality, technical correctness, relevance, and quality of presentation. An accepted paper must be presented at the conference venue by a registered author at the full registration rate. Each full registration covers up to two conference papers authored by the registered author. Accepted and presented papers will be published in the conference proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. IEEE reserves the right to exclude a paper from distribution after the conference, including IEEE Xplore® Digital Library, if the paper is not presented by one (the registered) of the authors of the accepted paper at the conference.
ICCCN 2023 Paper Submission Terms and Conditions:
1. Authors understood that the submission is original and has not been submitted to other venues or under consideration by other venues.
2. Paper titles and/or author names cannot be changed and/or added to the papers once papers are submitted to ICCCN 2023 for review (and in the final camera-ready manuscript if accepted).
3. If the paper is accepted, at least one of the authors must register/pay at the full rate and present it in person at the conference. Please check the ICCCN conference site for more publication requirements.
Important Dates:
Paper Submission: March 24th, 2023
Notification of Acceptance: April 25th, 2023
Camera-Ready Paper due: May 4th, 2023
Workshop Date: July 27th, 2023
Please refer to “Author Information” posted on the conference website for more info on paper submission and related rules/policies.
Workshop Co-Chairs:
Dr. Yu Chen, Binghamton University – SUNY, USA (ychen@binghamton.edu)
Dr. Sachin Shetty, Old Dominion University, USA (sshetty@odu.edu)
Technical Program Committee:
Amin Hassanzadeh – Accenture Technology Labs
Hisham Kholidy – SUNY Polytechnic Institue
Xueping Liang – Florida International University
Yaoqing Liu – Fairleigh Dickinson University
Seyed Yahya Nikouei – Kar Global
Shantanu Pal – Deakin University, Australia
Danda Rawat – Howard University
Ali Tekeoglu – Johns Hopkins University
Deepak Tosh – University of Texas at El Paso
Mohammad Wazid – Graphic Era Deemed to be University
Xiaonan Zhang – Florida State University
Ronghua Xu – Bingahmton University
Call for Participants: IJCB 2023 Competition: 8th Sclera Segmentation and Recognition Benchmarking Competition (SSRBC 2023)
March 28th, 2023 Daniela Lopez de Luise 8th Sclera Segmentation and Recognition Benchmarking Competition (SSRBC
2023)
Held in conjunction with IEEE/IAPR IJCB 2023
https://ijcb2023.ieee-biometrics.org/
Important dates: Registration is already open
SSRBC 2023 Website:
https://sites.google.com/hyderabad.bits-pilani.ac.in/ssrbc2023/home
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Sclera biometrics have gained significant popularity among emerging
ocular traits in the last few years. In order to evaluate the potential
of this trait, a considerable amount of research has been presented in
the literature, both employing the sclera individually and in
combination with the iris. In spite of those initiatives, sclera
biometrics need to be studied more extensively to ascertain their
usefulness. Moreover, the sclera segmentation task still requires a
significant amount of attention due to challenges associated with the
performance of existing techniques while sclera recognition is performed
in cross-sensor and resolution scenarios. In order to investigate these
challenges, document recent development and attract the
attention/interest of researchers we are planning to host the next
Sclera Segmentation and Recognition Benchmarking Competition SSRBC 2023.
SSRBC 2023 will be the 7 th in the series of sclera (segmentation and
recognition) benchmarking competitions following SSBC 2015, SSRBC 2016,
SSERBC 2017, SSBC 2018, SSBC 2019 and SSBC 2020 held in conjunction with
BTAS 2015, ICB 2016, IJCB 2017, ICB 2018, 19 and 20, respectively. Due
to the overwhelming success of SSBC 2015, SSRBC 2016, SSERBC 2017, SSBC
2018, 2019 and IJCB 2020, we plan to organize this proposed competition
to benchmark sclera segmentation and recognition jointly with both
cross-sensor and low and high-resolution images.
How to participate?
Registration for the competition can be done by email. If you would like
to register and receive the training dataset, please send an email to
abhijit.das@hyderabad.bits-pilani.ac.in with the subject line as “SSRBC
2023 registration” with the following information:
Name, Affiliation, Email, Phone number, CV , Mailing Address and signed
version of the following form .
Organizers :
Dr. Abhijit Das, BITS Pilani, Hyderabad, India
(abhijit.das@hyderabad.bits-pilani.ac.in)
Dr. Aritra Mukherjee, BITS Pilani, , Hyderabad, India
(a.mukherjee@hyderabad.bits-pilani.ac.in)
Prof. Umapada Pal, Indian Statistical Institute, Kolkata, India
(umapada@isical.ac.in )
Prof. Peter Peer, University of Ljubljana, Ljubljana, Slovenija
(peter.peer @fri.uni-lj.si)
Assoc. Prof. Vitomir Štruc , University of Ljubljana, Ljubljana,
Slovenija (vitomir.struc @fe.uni-lj.si)
Execution
Description of the dataset(s) used for the competition and the available
annotations
The competition aims to benchmark the sclera segmentation and
recognition tasks with a dataset containing both low and high-resolution
images. Three different datasets will be employed for the competition,
where two were acquired with a DSLR camera and one by a mobile camera.
The first dataset, i.e, the multi-angle sclera dataset (MASD), consists
of 2624 RGB images taken from 82 identities. Images were collected from
both the eyes of each individual, so there are 164 different eyes in
total in the dataset. For each individual image, four gaze directions
(looking straight, left, right and up) were captured and for each
direction 4 images were taken. The subjects from the database are both
male and female and with different eye colors, few of them are wearing
contact lenses and images were taken at different times of the day. The
database contains images with blinking eyes, closed eyes and blurred
eyes. High-resolution images stored in JPEG format are provided in the
database (7500 x 5000 dimensions). A NIKON D 800 camera and 28300 lenses
were used for image capturing. A ground truth or manual sclera
segmentation of this dataset is also available. For development
purposes, a subset of the database, both eye images and ground truth (1
image for each angle/gaze of the first 30 subjects, i.e. 120 images in
total) will be provided to the participants.
The second dataset, the Mobile sclera dataset (MSD), consists of 500 RGB
images from both eyes of 25 individuals (in other words 50 different
eyes). For each eye, 10 images were captured. The database contains
blurred images and images with blinking eyes. The individuals comprise
both males and females (12 males and 13 females), of different ages and
different skin colors, 2 of them were wearing contact lenses and the
images were taken at different times of the day. Variation in image
quality (blur, lighting condition etc.) and different acquisition
conditions was included intentionally in the database to investigate the
performance of the framework in non-ideal scenarios. High-resolution
images (3264 × 2448) of 96 dpi are included in the database. All the
images are in JPEG format. The images were captured using a mobile
camera with an 8-megapixel rear camera.
The third dataset, SBVPI, consists of 1858 RGB images of 110 eyes (i.e.,
55 subjects) captured with a DSLR camera (specifically, a Canon EOS 60D
with macro lenses). All images were manually cropped to extract the
desired ROI while maintaining their aspect ratio, then rescaled to 3000
× 1700 pixels to maintain a consistent image size across the entire
dataset. Images in the dataset were captured at the highest resolution
and quality settings available in the camera and in a laboratory
environment. The dataset contains images taken under 4 different gaze
directions, with a minimum of 4 images per direction for each subject.
The appearance variability in SBVPI is due to identity, eye color,
gender, and age. Manually generated markups of the sclera and periocular
regions are present for all images. SBVPI is publicly available for
research purposes.
Details on the experimental protocol and result generation/submission
procedure,
The competition will address two problems of relevance to IJCB 2023,
sclera segmentation and recognition, and will be organized around three
tasks:
● Segmentation task: for the segmentation task, participants will have
to learn segmentation models on the MASD datasets and then test them on
the MSD and SBVPI datasets. Complete algorithms will have to be
submitted for scoring. The final performance evaluation will be
conducted by the organizers.
● Recognition task: for the recognition task, the participants will be
asked to develop recognition models on the MASD datasets and then submit
the trained models for scoring to the organizers. The performance
evaluation will be conducted on the sequestered MSD and SBVPI dataset.
In this case, the manually generated (ground truth) segmentation mask
will be used to get the ROI before subjecting the images to the
recognition/feature extraction models..
● Joint segmentation and Recognition task: for the joint
segmentation-recognition task, the participants will be asked to develop
segmentation as well as recognition models on the MASD datasets and then
submit the trained models for scoring to the organizers. The performance
evaluation will be conducted on the sequestered MSD and SBVPI dataset.
In this case, the segmentation masks generated by the models of the
participants will be used to extract the ROI. To ensure the models are
only trained on the vasculature of the sclera, the segmentation masks
generated by the segmentation models will be used to remove all parts of
the images that do not belong to the sclera prior to subjecting images
to the recognition model/feature extractor.
Description of the evaluation criteria (performance metrics) and
available baseline implementations/code (e.g., a starter kit).
● Segmentation task: The evaluation measures will be precision and
recall (recall will consider the prior measure for ranking the
algorithms). The ground truth of the manually segmented sclera region in
an eye image is constructed, which will be used as a baseline.
● Recognition task: For the recognition task, we will consider
verification experiments and report the Area Under the ROC Curve (AUC)
as our main competition metric. For the summary paper, other relevant
performance indicators will also be reported.
A detailed timeline for the competition:
● Site opens 14th Feb 2023
● Registration starts 14th Feb 2023
● Test dataset available 28th Feb 2023
● Registration closes 10th May 2023
● Algorithm submission deadline 10th May 2023
● Results and report announcement 15th May 2023
Relevant publications
● M. Vitek, A.Das et al., “Exploring Bias in Sclera Segmentation Models:
A Group Evaluation Approach,” in IEEE Transactions on Information
Forensics and Security, vol. 18, pp. 190-205, 2023, doi:
10.1109/TIFS.2022.3216468.
● V. Matej, A. Das et al. , SSBC 2020: Sclera Segmentation Benchmarking
Competition in the Mobile Environment, IJCB 2020.
● A. Das, U Pal, M. Blumenstein, C. Wang, Y. He, Y. Zhu, Z. Sun, Sclera
Segmentation Benchmarking Competition in Cross-resolution Environment,
ICB 2019.