18th Conference on Content-based Multimedia Indexing postponed to 2021

May 14th, 2020 Daniela Lopez de Luise
The spread of COVID-19 in many countries worldwide, including France, has led to increased safety measures in these countries. As the organization committee of CBMI, it is essential for us to ensure that everyone can attend the conference safely as well as submit their work in the best conditions. As a consequence, it was decided to postpone the 18th edition of CBMI. The conference will be held in Lille on June 28-30, 2021. The new important dates for the submission process are listed below. A new website for the conference will be set up soon. The conference should operate as usual. During the conference, we will abide by the recommendations of the local and international health authorities at that time to offer a safe conference to everyone. Meanwhile, please keep yourself and others safe if you live in an affected region, and see you in great shape at CBMI 2021!

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CONTENT-BASED MULTIMEDIA INDEXING

University of Lille, Cité scientifique, Villeneuve d'Ascq, France
28-30 June 2021

cbmi2021.univ-lille.fr

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CBMI (eighteenth edition) aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics. Topics of interest to the CBMI community include, but are not limited to, the following: audio and visual and multimedia indexing, multimodal and cross-modal indexing, deep learning for multimedia indexing, visual content extraction, audio (speech, music, etc.) content extraction, identification and tracking of semantic regions and events, social media analysis.

The eighteenth edition of CBMI will be organized by the CRIStAL laboratory at University of Lille, Lille, France, following the successful previous editions of Toulouse 1999, Brescia 2001, Rennes 2003, Riga 2005, Bordeaux 2007, London 2008, Chania 2009, Grenoble 2010, Madrid 2011, Annecy 2012, Veszprem 2013, Klagenfurt 2014, Prague 2015, Bucharest 2016, Firenze 2017, La Rochelle 2018, and Dublin 2019.

Authors are encouraged to submit previously unpublished research papers in the broad field of content-based multimedia indexing and applications. We wish to highlight significant contributions addressing the main problem of search and retrieval but also the related and equally important issues of multimedia content management, user interaction, large-scale search, learning in retrieval, social media indexing and retrieval. Additional special sessions are planned in areas such as deep learning for retrieval, social media retrieval, cultural heritage, surveillance and security.

Authors can submit full length (6 pages – to be presented as oral presentation) or short papers (4 pages – to be presented as posters). Papers can be submitted to the regular paper sessions, demo session, or to one of the special sessions. Additionally demonstration papers (up to 4 pages) may also be submitted that highlight interesting and novel demos of CBMI-related technologies. The submissions are peer reviewed in a single blind process. The language of the conference is English. The CBMI 2021 conference adheres to the IEEE paper formatting guidelines. When preparing your submission, please follow the IEEE guidelines given by IEEE at the Manuscript Templates for Conference Proceedings.

The CBMI proceedings are traditionally indexed and distributed by IEEE Xplore and ACM DL. In addition, authors of certain best papers of the conference will be invited to submit extended versions of their contributions to a special issue of a leading journal in the field (e.g. MTAP – Springer), and other best papers will be invited to submit extended versions of their contributions in a book (ISTE/WILEY publisher).

Topics of interest to the CBMI community include, but are not limited to, the following:
. Audio and visual and multimedia indexing
. Multimodal and cross-modal indexing
. Deep learning for multimedia indexing
. Visual content extraction
. Audio (speech, music, etc) content extraction
. Identification and tracking of semantic regions and events
. Social media analysis
. Metadata generation, coding and transformation
. Multimedia information retrieval (image, audio, video, text)
. Mobile media retrieval
. Event-based media processing and retrieval
. Affective/emotional interaction or interfaces for multimedia retrieval
. Multimedia data mining and analytics
. Multimedia recommendation
. Large scale multimedia database management
. Summarization, browsing and organization of multimedia content
. Personalization and content adaptation
. User interaction and relevance feedback
. Multimedia interfaces, presentation and visualization tools
. Evaluation and benchmarking of multimedia retrieval systems
. Applications of multimedia retrieval, e.g., medicine, lifelogs, satellite imagery, video surveillance
. Cultural heritage applications

Important Information:

Conference date : 28-30 June 2021, at Lille, France.
Contact: cbmi2021-organisation@univ-lille.fr
Deadline for special session proposals: 15 October 2020
Deadline for regular paper and demo submissions : 15 January 2021
Notification of acceptance : 15 March 2021
Camera-ready papers due : 30 March 2021

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Sensors Journal Special Issue: 3D Images, Point Clouds and Videos classification and management by means of Artificial Intelligence approaches from industrial to agriculture applications

May 14th, 2020 Daniela Lopez de Luise
Dear Colleagues,

We would like to invite the academic and industrial research community 
to submit original research as well as review articles to this special 
issue of the Sensors journal (impact factor = 3.031).

In recent years, image capture systems have increasingly been used in 
industrial, commercial, and agricultural applications as a means to 
obtain information which could improve the quality of the obtained 
products. The methodologies and technologies related to video 
processing, imaging processing, 3D modeling, and multimedia have 
significantly been implemented in the field of computer vision. The 
continuous development of these technologies has led to an 
introduction of new methodologies and applications in this field. 
Machine learning algorithms and deep learning provide paradigms to 
process and classify obtained 3D images or point clouds, as well as 
video action recognition.

Recently, advancements in sensor technologies that acquire point cloud 
data have paved the way for the development of new ideas, 
methodologies, and solutions in countless remote sensing applications.

This Special Issue addresses the latest research advances in 3D image, 
point cloud, and video classification. This covers a wide area of 
applications, such as industrial pieces recognition, crop status 
management, video action recognition, etc. and several techniques: 
machine learning, deep learning, etc. The papers will help readers to 
explore and share their knowledge and experience in technologies and 
development techniques.

Information can be found in this link:

https://www.mdpi.com/journal/sensors/special_issues/3D_images_point_clouds_videos_classification

Related topics are included in the following list (but not limited to it):

     artificial intelligence
     machine learning
     3D model processing
     robotic applications
     deep learning for point cloud processing
     point cloud classification
     modeling urban and natural environments from aerial and mobile 
LiDAR/image-based point clouds
     industrial applications with large-scale point clouds
     machine and robot vision
     3D Image detection, recognition, and tracking
     biometrics and biomedical image analysis
     action recognition
     mathematical methods in image processing, analysis, and representation
     artificial intelligence tools in image analysis
     pattern recognition algorithms applied for images

Deadline for manuscript submissions: 15 October 2020.

Prof. Dr. Basilio Sierra (University of the Basque Country)
Dr. Naiara Aginako (University of the Basque Country)
Dr. José María Martínez-Otzeta (University of the Basque Country)
Guest Editors

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Agronomy Special Issue on “Sensing and Perception Systems for Situational Awareness of Agricultural Robotic Vehicles”

May 14th, 2020 Daniela Lopez de Luise
the last few years have seen an increasing technological transfer from robotics to agriculture to develop intelligent vehicles that can significantly enhance the sustainability of agricultural systems.
Robotics technology has been recently proven to be especially valuable for the development of in-field high-throughput phenotyping platforms supporting precision farming applications, to improve natural resource-saving and health and safety conditions of the workforce, as well as to increase productivity and competitiveness of agricultural production.
In this respect, accurate and robust sensing and perception systems, taking advantage of the latest research advances in the field of machine learning and deep learning techniques, play a critical role in addressing unsolved issues such as safe interaction with workers and animals, controlled traffic applications, crop row guidance, surveying for variable rate applications, and situation awareness in general.

This Special Issue of Agronomy (impact factor = 2.259) invites original submissions addressing the study and development of sensing and perception systems to endow an agricultural vehicle with cognitive abilities to safely navigate and interact with its operational environment, with workers or other robots, as well as articles dealing with the study and development of novel data analysis techniques for crop assessment, recognition of condition using data acquired by agricultural robotic platforms, and any other relevant application of such technologies in crops and animal husbandry.
Papers providing experimental evidence in the field and involving the integration of different disciplines such as engineering, mathematics/statistics, occupational safety and health, human-machine interface and ergonomics, and environmental and computer science are particularly encouraged.
Contributions focusing on the development of agricultural robotic technologies to achieve the United Nations sustainable development goals, such as securing healthy and sustainable food and safe working conditions, and overcoming and recovering from the COVID-19 pandemic are welcome.

Keywords:

  • Sensor and robot networks in agriculture
  • Multisensor and data fusion
  • Machine learning and deep learning from sensor data in agriculture
  • Environment mapping and classification
  • Robot localization and navigation
  • In-field phenotyping sensors and vehicles
  • Safe human-robot interaction in agricultural applications
  • Sensors and vehicles for in-field pest detection and management
  • Harvesting automation
  • Cooperative agricultural robotics
  • Safety and health in agriculture
  • Food security

Deadline for manuscript submissions: January 1, 2021.

For submission details, please visit:
https://www.mdpi.com/journal/agronomy/special_issues/Agricultural_Robotic_Vehicles

Guest Editors
Dr. Eugenio Cavallo
Dr. Roberto Marani
Dr. Annalisa Milella

FedCSIS Call for Papers

May 14th, 2020 Daniela Lopez de Luise
15th Conference on Computer Science and Information Systems
(FedCSIS’2020)

Sofia, Bulgaria, 6-9 September, 2020

www.fedcsis.org

Strict submission deadline: May 29, 2020, 23:59:59 pm HST (no extensions)

(FedCSIS IEEE conference number: #49059)

*********************** COVID-19 Information ***********************

We would like to assure everybody that FedCSIS 2020 will take place, the
submitted and accepted papers will be published and sent for indexations as
usual. In case the conference cannot be staged in real setting of beautiful
Sofia, we will provide a virtual web-based avenue for it. We look forward
to receiving your contributions as usual and guarantee that FedCSIS 2020
will be another memorable and rewarding conference.

Nevertheless, we would like to stress that in case of inability to be
physically present at the FedCSIS Conference, due to travel restrictions,
the FedCSIS paper authors will be allowed to remotely present their papers.

FedCSIS organizers

*******************************************************************

Please feel free to forward this announcement to your colleagues and
associates who could be interested in it.

KEY FACTS: expected Proceedings: IEEE Digital Library; indexing: Web of
Science (since 2012); 22 Technical Sessions in 5 Tracks; Doctoral
Symposium; conference fee covers 4 lunches and 3 social events; Sofia –
capital of Bulgaria, city history goes back to Roman times (with some,
recently uncovered and made available to see, fascinating ruins of Serdika
– which is how Sofia was known during Tracian and Roman times). In case
of being forced to move conference to a Web-based format, conference fee
will be reduced.

FedCSIS is an annual international conference, this year organized jointly
by the Polish Information Processing Society (PTI), IEEE Poland Section
Computer Society Chapter and Bulgarian Academy of Sciences. The mission of
the FedCSIS Conference Series is to provide a highly acclaimed forum in
computer science and information systems. We invite researchers from around
the world to contribute their research results and participate in Technical
Sessions focused on their scientific and professional interests in computer
science and information systems.

As in the previous years, FedCSIS 2020 will host a data mining challenge.
It will be organized on a, recently re-designed, Knowledge Pit platform:
https://knowledgepit.ai/fedcsis20-challenge/?utm_source=emailcampaign99&utm_medium=phpList&utm_content=text&utm_campaign=FedCSIS+Call+for+Papers
There will also be a special session devoted to this challenge at the
FedCSIS 2020 conference.

Since 2012, Proceedings of the FedCSIS conference are indexed in the Web of
Science, SCOPUS and other indexing services. This already includes
Proceedings of FedCSIS 2018 (we are awaiting the decision for the FedCSIS
2019). Information about FedCSIS indexing / bibliometry / rankings can be
found at:
https://www.fedcsis.org/2020/indexation?utm_source=emailcampaign99&utm_medium=phpList&utm_content=text&utm_campaign=FedCSIS+Call+for+Papers

FedCSIS TRACKS AND TECHNICAL SESSIONS

The FedCSIS 2020 consists of five conference Tracks, hosting Technical
Sessions:

Track 1: Artificial Intelligence
* Advanced Artificial Intelligence in Applications (15th Symposium AAIA'20)
* Advances in Semantic Information Retrieval (9th International Workshop
ASIR'20)
* Formal Approaches to Vagueness in Relation to Mereology (1st Symposium
FVRM'20)
* Language Technologies and Applications (5th Workshop LTA'20)
* Computational Optimization (13th Workshop WCO'20)

Track 2: Computer Science & Systems
* Advances in Computer Science & Systems (ACSS'20)
* Actors, Agents, Assistants, Avatars (1st Workshop 4A'20)
* Computer Aspects of Numerical Algorithms (13th Workshop CANA'20)
* Multimedia Applications and Processing (13th Symposium MMAP'20)
* Scalable Computing (11th Workshop WSC'20)

Track 3:  Network Systems and Applications
* Advances in Network Systems and Applications (ANSA'20)
* Internet of Things – Enablers, Challenges and Applications (4rd Workshop
IoT-ECAW'20)
* Cyber Security, Privacy and Trust (1st International Forum NEMESIS'20)

Track 4: Information Systems and Technologies
* Advances in Information Systems and Technologies (AIST'20)
* Data Science in Health (DSH'19) (2nd Special Session DSH'20)
* Information Systems Management (15th Conference ISM'20)
* Knowledge Acquisition and Management (26th Conference KAM'20)

Track 5: Software and System Engineering
* Advances in Software and System Engineering (ASSE'20)
* Cyber-Physical Systems (7th Workshop IWCPS’20)
* Lean and Agile Software Development (4th International Conference
LASD'20)
* Model Driven Approaches in System Development (6th Workshop MDASD'20)
* Software Engineering (40th IEEE Workshop SEW’20)

Track 6: DS-RAIT'20 – 7th Doctoral Symposium on Recent Advances in
Information Technology

KEYNOTE SPEAKERS

* Christian Blum, Artificial Intelligence Research Institute (IIIA-CSIC),
Barcelona, Spain
Keynote title: Are you a Hybrid? Yes, of course, everyone is a Hybrid
nowadays!

* George Boustras, European University Cyprus
Keynote title: Critical Infrastructure Protection – on the interface of
safety and security

* Hans-Georg Fill, University of Fribourg, Switzerland
Keynote title: From Digital Transformation to Digital Ubiquity: The Role of
Enterprise Modeling

PAPER SUBMISSION AND PUBLICATION

+ Papers should be submitted by May 29, 2020 (strict deadline, no
extensions, submission system is open).

+ Preprints will be published on a USB memory stick and provided to the
FedCSIS participants.

+ Only papers presented during the conference will be submitted to the IEEE
for inclusion in the Xplore Digital Library. Furthermore, proceedings,
published in a volume with ISBN, ISSN and DOI numbers, will posted within
the conference Web portal. Moreover, most Technical Session organizers
arrange quality journals, edited volumes, etc., and may invite selected
extended and revised papers for post-conference publications (information
can be found at the websites of individual events, or by contacting Chairs
of said events).

IMPORTANT DATES

+ Paper submission (strict deadline): May 29, 2020, 23:59:59 pm HST (there
will be no extension)
+ Position paper submission: June 23, 2020
+ Author notification: July 14, 2020
+ Final paper submission and registration: July 29, 2020
+ Conference date: September 6-9, 2020

CHAIRS OF FedCSIS CONFERENCE SERIES

Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki

CONTACT FedCSIS at: secretariat@fedcsis.org

FedCSIS in Social Media:
FedCSIS on Facebook:   
http://tinyurl.com/FedCSISFacebook?utm_source=emailcampaign99&utm_medium=phpList&utm_content=text&utm_campaign=FedCSIS+Call+for+Papers
FedCSIS on LinkedIN:   
https://tinyurl.com/FedCSISonLinkedIN?utm_source=emailcampaign99&utm_medium=phpList&utm_content=text&utm_campaign=FedCSIS+Call+for+Papers
FedCSIS on Twitter:   
https://twitter.com/FedCSIS?utm_source=emailcampaign99&utm_medium=phpList&utm_content=text&utm_campaign=FedCSIS+Call+for+Papers
FedCSIS on XING:       
http://preview.tinyurl.com/FedCSISonXING?utm_source=emailcampaign99&utm_medium=phpList&utm_content=text&utm_campaign=FedCSIS+Call+for+Papers

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Call For Paper – ICML2020 Workshop

May 12th, 2020 Daniela Lopez de Luise

 

We're excited to announce the 2nd Human In the Loop Learning Workshop at ICML 2020!  We invite submission of relevant, four to eight-page papers before the June 1st (anywhere on earth) deadline.  

 

Website: https://www.icml-hill.com/

 

Call for Papers:

 

Recent years have witnessed the rising need for learning agents that can interact with humans. Such agents usually involve applications in computer vision, natural language processing, human computer interaction, and robotics. Creating and running such agents call for interdisciplinary research of artificial intelligence, machine learning, and software engineering design, which we abstract as Human in the Loop Learning (HILL). HILL is a modern machine learning paradigm of significant practical and theoretical interest. For HILL, models and humans engage in a two-way dialog to facilitate more accurate and interpretable learning.

The workshop aims to bring together researchers and practitioners working on the broad areas of human in the loop learning, ranging from the interactive/active learning algorithm designs for real-world decision making systems (e.g., autonomous driving vehicles, robotic systems, etc.), models with strong explainability, as well as interactive system designs  (e.g., data visualization, annotation systems, etc.). In particular, we aim to elicit new connections among these diverse fields, identifying theory, tools and design principles tailored to practical machine learning workflows. In this year’s HILL workshop, we emphasize on the interactive/active learning algorithms for real-world decision making systems as well as learning algorithms with strong explainability. We continue the previous effort to provide a platform where researchers can discuss approaches that bridge the gap between humans and machines and get the best of both worlds. 

 

We welcome high-quality submissions on algorithms and system designs in the broad area of human in the loop learning. A few (non-exhaustive) topics of interest include:

·       Active/Interactive machine learning algorithms for autonomous decision-making systems,

·       Online learning and active learning,

·       Psychology driven human concept learning,

·       Explainable AI,

·       Systems for online and interactive learning algorithms,

·       Systems for collecting, preparing, and managing machine learning data,

·       Design, testing and assessment of interactive systems for data analytics,

·       Model understanding tools (debugging, visualization, introspection, etc).

 

Important Dates:

 

* Submission deadline: June 1, 2020 (anywhere on earth)

* Notification: Around June 20, 2020

* Workshop: July 17 or 18, 2020

 

Submission instructions

 

We invite submissions of full papers as well as works-in-progress, position papers, and papers describing open problems and challenges. While original contributions are preferred, we also invite submissions of high-quality work that has recently been published in other venues or is concurrently submitted. We encourage creative ML approaches, as well as interdisciplinarity and perspectives from outside traditional ML. Papers should be 4-8 pages in length (excluding references and acknowledgments) formatted using the ICML template and submitted online via the link available at https://cmt3.research.microsoft.com/HILL2020. The accepted papers are allowed to get submitted to other conference venues. 

 

Organizers

* Shanghang Zhang, UC Berkeley

* Xin Wang,  UC Berkeley

* Fisher Yu,  UC Berkeley

* Jiajun Wu, Stanford & Google

* Trevor Darrell, UC Berkeley

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