LQVD Workshop @ ACM Multimedia Asia 2023

Dear Prof./Assoc. Prof./Dr./Mr./Mrs./Ms.,

We cordially invite everyone to submit papers to the Workshop on Low-Quality Visual Data for Computer Vision and Media (LQVD) held in conjunction with ACM Multimedia Asia 2023 at Tainan, Taiwan (December 6 – 8, 2023).

The LQVD Workshop aims to provide an international platform for researchers from academia and industry to come together and share their work and experiences handling practical challenges in low-quality visual data as well as discuss potential solutions to push forward the advancements of vision technologies.

This workshop is soliciting papers in, but not limited to, the following areas:

  • Analysis and understanding of low-quality visual data;
  • Image/video quality assessment and metrification;
  • Image/video optimization for downstream tasks;
  • Low-quality vision applications (inclusive of satellite images, medical images, incomplete images, etc.);
  • Deep learning techniques for low-quality visual data understanding;
  • Data augmentation and generation for low-quality data synthesis;
  • Low-quality visual data enhancement and restoration;
  • Datasets for low-quality vision tasks (collection procedures and benchmarking).

Important dates for submitting a paper to the workshop:

  • Workshop Paper Submission Deadline: 27th September 2023
  • Notification of Workshop Paper Acceptance: 20th October 2023
  • Camera-Ready Workshop Paper Submission Deadline: 24th October 2023

Submission Link: CMT (https://cmt3.research.microsoft.com/MMAsia2023)
For more information, you may refer to our Call for Paper attached, or visit our website.

We look forward to seeing you in the LQVD Workshop at MMAsia2023@Tainan.
Thank you.

Best regards,
LQVD Workshop Organizing Committee

deadline for a computational intelligent conference extended to September 15, 2023

AICI 2024

The Fifth International Conference on

Artificial Intelligence and Computational Intelligence.

January 13-14, 2024  – Hanoi, Vietnam

https://aici2024.thanglong.edu.vn

 

Sponsored by International Fuzzy Systems Association IFSA

 

CALL FOR PAPERS

Objectives and Topics

 

AICI 2024 is the Fifth International Conference on Artificial

Intelligence and Computational Intelligence. The main objectives

are outlined as follows:

 

•            To bring together researchers working on artificial

intelligence and computational intelligence and related topics.

 

•            To present and discuss theoretical and applied research

problems as well as to foster research collaborations.

 

AICI 2024 will take place in Thang Long University, Hanoi, Vietnam,

during 13-14 January, 2024, and be organized by Thang Long

University, Vietnam.

 

Accepted papers for presentation at AICI 2024 will be published in

the Springer book series “Studies in Systems, Decision, Control”

indexed by Scopus, DBLP, WTI Frankfurt eG, zbMATH, SCImago.

 

Main themes: Machine Learning and other Soft Computing Techniques:

Biomedical & Related Applications

 

Topics of interest include but are not limited to, the following:

Artificial Intelligence and Computational Intelligence.

 

Important Dates

 

Paper Submission Deadline: September 15, 2023

 

Notification of acceptance: October 1, 2023

 

Camera-Ready Manuscript: October 31, 2023

 

Conference: January 13-14, 2024

 

All the best.

 

Assoc. Prof. Dr. Nguyen Hoang Phuong

 

AI Division, Faculty of IT, Thang Long University, Vietnam

PRELUDE 2023: PeRvasive sEnsing and muLtimedia UnDErstanding | Colocated with SITIS 2023 | Online & Bangkok, Thailand – November 8-10, 2023

PRELUDE 2023: PeRvasive sEnsing and muLtimedia UnDErstanding 

Co-located with:

SITIS 2023 – The 17th International Conference on Signal Image Technology & Internet based Systems

Bangkok, Thailand – November 8-10, 2023


Scope 

Advances in sensing and computing are currently impacting several sectors ranging from healthcare to cultural heritage, from smart cities to Industry 4.0. Information collected by sensors is propagated through internet-based systems and processed through the network's nodes. Mobile, edge and fog computing approaches have pushed advanced “smart” processing to the far edges of the network, while AI as a Service (AIaaS) paradigms abstract and virtualise intelligent services for deployment on the cloud. Multimedia information, including images, video streams, acoustic data and temporal series, are a relevant part of the data to be processed, analysed and understood for fully taking advantage of sensing resources.

This workshop aims to shorten the gap between edge-based and cloud-based approaches for multimedia understanding by addressing the challenges and opportunities of the combined approach. Relevance will be given to transversal issues, such as those related to the privacy and security of such hybrid strategies, as well as to the quest for optimal and greener configuration of AI services towards sustainable and ethical use of computing resources. The co-existence of intelligent services distributed in a computational continuum made of heterogeneous nodes opens the possibilities of performing learning, including reinforcement learning, in such scenarios while coping with possible data shortages or faults of some nodes.

Contributions addressing the above issues from a theoretical or simulation perspective are sought, while demonstrations in applicative scenarios will also be welcome.

 

Topics 

Topics for the workshop include, but are not limited to:

     Embedded systems and smart camera networks

     Mobile and pervasive computing

     Artificial intelligence in resource-constrained environments and on-device machine learning;

     Learning in multi-tier networked ecosystems

     Perception, sensing, and smart environment monitoring;

     Sensor fusion for environment perception;

     Video data representation, summarization, and visualization.

     Multi-view computer vision

     Learning in scarce data scenarios

     Reinforcement learning

     Fault-tolerant decision making

     Privacy and security aspects

     Explainability, trustworthiness and sustainability of pervasive AI paradigms

     Applications in

o    Industry, smart cities and smart mobility

o    Cultural heritage and tourism

o    Healthcare

 

Important dates

Submission deadline: September 17, 2023

Acceptance/Reject notification: September 30, 2023

Camera-ready: October 6, 2023

Author Registration: October 6, 2023

Submission

Each submission should be at most 6 pages in total, including bibliography and well-marked appendices and must follow the IEEE double columns publication format available at:

·       Manuscript templates for IEEE conference proceedings

Paper submission will only be online via: Easy Chair.

All submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of expression by at least two reviewers. The organizers will examine the reviews and make final paper selections.

Publication

All the papers accepted for the workshop will be included in the conference proceedings. The proceedings will be published by IEEE Computer Society and referenced in IEEE Xplore Digital Library, Scopus, DBLP and major indexes.

Registration

At least one author of each accepted paper must register for the workshop. The workshop registration fee is determined by SITIS. Both in-presence and remote presentations are allowed. A single registration for the workshop or the conference allows attending both events. 


InfoWare 2024 || March 10 – 14, 2024 – Athens, Greece

InfoWare 2024: March 10 – 14, 2024 – Athens, Greece

see: https://www.iaria.org/conferences2024/InfoWare24.html

InfoWare 2024 is a federated event focusing on advanced topics concerning wireless networks, vehicular technologies, internet, collaborative systems, human analytics, and cognitive science.

Submission (full paper) deadline: November 28, 2023

Submissions must be electronically done using the 'Submit a Paper' link on the entry page of each conference.

Before submission, please check and comply with the Editorial rules:
https://www.iaria.org/editorialrules.html.

For details on the each conference's topics, see the individual Call for Papers for each conference.

Unpublished high quality contributions in terms of Regular papers and Posters or Work in Progress are welcome. Workshop proposals and Panel proposals on challenging topics are encouraged.

Extended versions of selected papers will be published in IARIA on-line Journals (https://www.iariajournals.org) and in Special issues of different journals mentioned on the entry page of each conference.

All tracks/topics are open to both research and industry contributions.

InfoSys 2024 || March 10 – 14, 2024 – Athens, Greece

Please consider to contribute and encourage your team members and fellow scientists to contribute to the following federated events under InfoSys 2024.

The submission deadline is November 28, 2023.

Thanks for forwarding the information on this Call for Submissions to those potentially interested to submit.

===== Call for Submissions =======

InfoSys 2024: March 10 – 14, 2024 – Athens, Greece

see: https://www.iaria.org/conferences2024/InfoSys24.html

InfoSys 2024 is a federated event focusing on advanced topics concerning networking, autonomous systems, energy, databases, signal and image processing, and biotechnology.

Submission (full paper) deadline: November 28, 2023

Submissions must be electronically done using the 'Submit a Paper' link on the entry page of each conference.

Before submission, please check and comply with the Editorial rules:
https://www.iaria.org/editorialrules.html.

For details on the each conference's topics, see the individual Call for Papers for each conference.

Unpublished high quality contributions in terms of Regular papers and Posters or Work in Progress are welcome. Workshop proposals and Panel proposals on challenging topics are encouraged.

Extended versions of selected papers will be published in IARIA on-line Journals (https://www.iariajournals.org) and in Special issues of different journals mentioned on the entry page of each conference.

All tracks/topics are open to both research and industry contributions.

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