CBMI 2021 BASED MULTIMEDIA INDEXING, June 2021, Lille

CALL FOR PAPERS
CONTENT-BASED MULTIMEDIA INDEXING
University of Lille, Cité scientifique, Villeneuve d‘Ascq, France
28-30 June 2021
Submission Deadline:  15 January 2021
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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Authors are encouraged to submit previously unpublished research papers in the broad field of content-based multimedia indexing and applications.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 2020 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

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

STUDENT PARTICIPATION:
We strongly encourage students to participate in CBMI-21 event and submit their research. We strongly believe in their power and they are the future of the research in content-based multimedia indexing. For these reasons and for the first time in the history of the conference, the 2021 edition of CBMI with support of ACM SIGMM (www.sigmm.org), will sponsor several students, authors of papers submitted and accepted by CBMI-21, and being corresponding author of a paper. The student status will be recognized only to PhDs and master students. Certain students will be totally sponsored, including registration fees, accommodations and travel expenses. Other students will be partly sponsored, including substantial reduction in the registration fees, no cut-backs to the students’ conference experience, and budget accommodation options and arrangement for room sharing.

Furthermore, in this edition, prizes will be awarded to the best student poster presentations of CBMI2021. All the participants registered to CBMI2021 as student will be automatically admitted to the selection for the awards. All the papers accepted as poster presentation by the Technical Program Committee (TPC), from students will be considered for the awards, given that a full-paper manuscript has been submitted.

The student poster awards committee will evaluate the nominated contributions during the poster sessions of CBMI2021. The evaluation criteria will be independently established by the Committee before the conference and will take into account the scientific content as well as the technical quality of the posters.

The Student Poster Awards will be announced during the Gala Dinner, on June 29th.

MIDL 2021 Call for Papers

Call for Papers: 4th International Conference on Medical Imaging with Deep Learning 2021

 

We welcome submissions, as full or short papers, for the 4th edition of Medical Imaging with Deep Learning (MIDL). Due to the ongoing Covid-19 pandemic the conference is planned as a hybrid event (local + virtual) and is going to take place in Lübeck, Germany, July 7-9, 2021. The conference website can be found at

 

https://2021.midl.io

 

Important dates

 

Full Papers

  • Paper registration deadline: 10 February 2021
  • Paper submission deadline: 17 February 2021

Short Papers

  • Paper registration deadline: 6 April 2021
  • Paper submission deadline: 13 April 2021

Conference dates

  • Main event: 7-9 July 2021
  • Doctoral Symposium: 6 & 10 July 2021

 

Aims and Scope

 

The conference is a forum for deep learning researchers, clinicians and health-care companies working at the intersection of medical image analysis and machine learning for healthcare and medicine, including disease detection, diagnosis, staging, prognosis, intervention, treatment selection and monitoring of disease progression.

 

MIDL has a broad scope, including all areas of medical image analysis and computer-assisted intervention, where deep learning is a key element. Topics of interest include but are not limited to:

  • Semantic segmentation of medical images
  • Learning based image registration
  • Computer-aided detection and diagnosis
  • Image acquisition, reconstruction and synthesis
  • Transfer learning and domain adaptation
  • Learning with noisy labels and limited data
  • Unsupervised deep learning and representation learning
  • Uncertainty estimation for medical diagnosis
  • Interpretability and explainable deep learning
  • Integration of imaging and clinical data
  • Validation studies and deep learning applications in radiology, pathology, endoscopy, dermatology, ophthalmology, and beyond

 

Inquiries to the program chairs can be addressed directly to pcs@2021.midl.io.

 

Two-Track Submissions

 

Conference submissions follow two tracks: full conference papers and short papers.

 

Full papers contain methodological developments or well-validated applications of deep learning algorithms in medical imaging. The paper length is strictly limited to 8 pages with as many pages as needed for the references and appendix section (all in a single pdf).

 

The papers will go through a full, single-blind reviewing process via OpenReview, with a two-week period for author rebuttal and discussion. A selection of full papers will be invited for oral presentation. All accepted full papers will be published as a volume in the Proceedings of Machine Learning Research.

 

Short papers are up to 3 pages and can, for example, focus on novel methodological ideas without extensive validation. We also specifically accept short papers discussing recently published or submitted journal contributions to give authors the opportunity to present their work and obtain feedback from conference attendees. Selection of short papers is based on a light single-blind review process via OpenReview, without a discussion period. All accepted short papers will be presented at the conference.

 

Special Issue

 

MIDL is going to have a Special Issue in MELBA (The Journal of Machine Learning for Biomedical Imaging). A selection of best full and short papers is going to be invited to submit an extended version of their work there.

 

MIDL 2021

July 7 – 9, 2021

Lübeck, Germany

https://2021.midl.io

 

The MIDL'21 Organizing and Program Committee,

 

Floris Ernst, Jan Lellmann, Alexander Schlaefer, Mattias Heinrich, Marleen de Bruijne, Qi Dou

Tier II Canada Research Chair in Complex Neural Systems Modelling at the University of Calgary

The University of Calgary invites applications from emerging leaders in the area of Complex Neural System Modelling for a Tier II Canada Research Chair position in the Faculty of Science at the University of Calgary.  For more information and to apply: https://science.careers.ucalgary.ca/jobs/5915163-canada-research-chair-tier-ii-in-complex-neural-system-modelling-department-of-physics-and-astronomy

 

Volker Steuber

Professor of Computational Neuroscience

Biocomputation Research Group

School of Physics, Engineering and Computer Science

University of Hertfordshire

College Lane, Hatfield, AL10 9AB, UK

+44 (0)1707 284350

MLearning: 3-Day Remote Seminar

Statistical Horizons presents Machine Learning taught by Dr. Kevin Grimm on Thursday, January 7 – Saturday, January. 9. Join us as we provide a thorough introduction to Machine Learning methods via Zoom.

 

Topics include:

  • Cross-validation
  • Best subsets regression & forward selection
  • Lasso regression
  • Support vector machines
  • Classification & regression trees
  • Bootstrap aggregation (bagging)
  • Random forests
  • Boosting

Each day will follow this schedule:


10:00am-2:00pm ET: Live lecture via Zoom
4:00pm-5:00pm ET: Live “office hour” via Zoom (Thursday and Friday only)

 

Please pass this info along to colleagues, grad students, or anyone else who might be interested.

Click here for more information or to register. Email info@statisticalhorizons.com with any questions.

Thanks,

Isaac W. Prentice
Statistical Horizons LLC
P.O. Box 282
Ardmore, PA 19003

Webinar | Solución Sistema de Tráfico Inteligente (ITS)

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