ICL-GNSS 2022 – deadline extended to March 14

 

the deadline of paper submissions to the IEEE-copyrighted paper track

in the International Conference on Localization and GNSS 2022

(Tampere, Finland, June 7-9) is extended to March 14 (midnight EET).

 

Please notice also our special sessions on:

-INS/GNSS integration for robotics and machine automation

-Intelligent autonomous systems and positioning techniques for industrial IoT and logistics

-Positioning reliability and integrity monitoring

-Seamless pedestrian navigation

-Wearable computing algorithms, architectures, security enablers, and services

 

You can submit at https://www.conftool.pro/icl-gnss2022/

 

For more information on the event, see https://events.tuni.fi/icl-gnss2022/

 

If you’ll miss this final deadline, there is also the Work-in-Progress/Industrial track

with a deadline in April. That is an open-access publication track with separate proceedings.

 

Regards,

 

Jari Nurmi (TAU)

 

IMAGING 4 XR—Final Program Available/REGISTER NOW!

Explore topics and application areas related to augmented reality, virtual reality, and mixed reality through a series of conversations with experts from Reality Labs, Apple, Meta, RIT, Supernatural, + more

 

Imaging for XR Workshop

4 March 2022

Space is limited—Register Today! https://bit.ly/Imaging4XR

An on-demand recording is available until 31 July.

 

The workshop includes live talks, Q&A, panel discussion, + social networking.

 

WELCOME AND INTRODUCTION

Convenor: Nicolas Bonnier, Apple

 

SESSION 1 Chair: Susan Lakin, professor, and director Frameless Labs, RIT

The State of the VR Immersive Media Ecosystem

Eric Cheng, immersive media lead, Reality Labs

 

Surgical Telerobotics

Ian McDowall, Fellow, Vision Systems, Intuitive Surgical

 

SESSION 2 Chair: Alex Forsythe, director of Imaging Technology, Academy of Motion Picture Arts and Sciences
Virtual Production for Film and Virtual Reality

Logan Lemmon, head of studio, Supernatural

 

Why you shouldn’t ask questions

Jannicke Mikkelsen, Norwegian explorer, Guinness World Record holder, film director, and cinematographer

 

SESSION 3 Chair: Paul Hubel, chief scientist, Camera Technology, Apple 

Color Appearance in Augmented Reality Imaging Systems

Michael J. Murdoch, associate professor, Rochester Institute of Technology

 

Apple Object Capture

Long Quan, senior research manager, Apple Object Capture, Apple

 

PANEL DISCUSSION WITH SPEAKERS

Moderator: Bennett Wilburn, Meta

 

BYOB GATHERING WITH SPEAKERS, a perfect opportunity for one-on-one conversations with the speakers.

Organizer: Jerry Jia, Meta

 

Imaging for XR Workshop

4 March 2022

Space is limited—Register Today! https://bit.ly/Imaging4XR

An on-demand recording is available until 31 July.

 

 

Roberta Morehouse, CMP
Society for Imaging Science and Technology (IS&T)
—imaging across applications—
imaging.org 
Connect with us on LinkedIn and Twitter @ImagingOrg

 

IEEE MIPR2022

The Fifth (2022) IEEE International Conference on
Multimedia Information Processing and Retrieval (MIPR'22)

http://www.ieee-mipr.org
Taking Place Virtually
August 2 – August 4, 2022
======================================================================
MIPR 2022 highlights

Keynote Speakers
* Philip S. Yu, Professor, University of Illinois Chicago
* Jian Pei, Professor, Simon Fraser University 
* Shih-Fu Chang, Professor, Columbia University 

Innovation Forums
* The Future Trending of Metaverse
  Moderator: Shuxue Quan, Oppo
* Hardware and Software Acceleration for AI Applications
  Moderator: Xin Chen, Intel
* The Future of Media Compression: Deep Learning Approaches
  Moderator: Dong Liu, University of Science and Technology of China
* Computer Vision
  Moderator: Zhou Ren, Wormpex AI Research

New forms of multimedia data (such as text, numbers, tags, networking,
signals, geo-tagged information, graphs/relationships, 3D/VR/AR and
sensor data, etc.)  has emerged in many applications in addition to
traditional multimedia data (image, video, audio). Multimedia has
become the biggest of big data as the foundation of today's
data-driven discoveries. Almost all disciplines of science and
engineering, as well as social sciences, involve multimedia data in
some forms, such as recording experiments, driverless cars, unmanned
aerial vehicles, smart communities, biomedical instruments, security
surveillance.  Some recent events demonstrate the power of real-time
broadcast of unfolding events on social networks. Multimedia data is
not just big in volume, but also multi-modal and mostly
unstructured. Storing, indexing, searching, integrating, and
recognizing from the vast amounts of data create unprecedented
challenges. Even though significant progress has been made processing
multimedia data, today's solutions are inadequate in handling data
from millions of sources simultaneously.

The IEEE International Conference on Multimedia Information Processing
and Retrieval (IEEE-MIPR) aims to provide a forum for original
research contributions and practical system design, implementation,
and applications of multimedia information processing and retrieval
for single modality or multiple modalities. The target audiences will
be university researchers, scientists, industry practitioners,
software engineers, and graduate students who need to become
acquainted with technologies for big data analytics, machine
intelligence, information fusion in multimedia information processing
and retrieval.  A collection of keynotes, tutorials, and workshops
will be held, together with paper/poster sessions.  In addition, MIPR
2022 Innovation Forum invites leaders in multimedia society to discuss
the topics covering video compression, AI acceleration, metaverse, and
Computer Vision.

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. Selected
submissions will be invited to submit to journal special issues.

The conference includes (but not limited) the following topics of
multimedia data processing and retrieval.

Multimedia Retrieval
        Multimedia Search and Recommendation
        Web-Scale Retrieval
        Relevance Feedback, Active/Transfer Learning
        3D and sensor data retrieval
        Multimodal Media (images, videos, texts, graph/relationship)
        Retrieval
        High-Level Semantic Multimedia Features
        Machine Learning/Deep Learning/Data Mining
        Deep Learning in Multimedia Data and / or Multimodal Fusion
        Deep Cross-Learning for Novel Features and Feature Selection
        High-Performance Deep Learning (Theories and Infrastructures)
        Spatio-Temporal Data Mining
        Novel Dataset for Learning and Multimedia
        Content Understanding and Analytics
        Multimodal/Multisensor Integration and Analysis
        Effective and Scalable Solution for Big Data Integration
        Affective and Perceptual Multimedia
        Multimedia/Multimodal Interaction Interfaces with humans
        Multimedia and Vision
        Multimedia Telepresence and Virtual/Augmented/Mixed Reality
        Visual Concept Detection
        Object Detection and Tracking
        3D Modeling, Reconstruction, and Interactive Applications
        Networks for Multimedia Systems
        Internet Scale System Design
        Information Coding for Content Delivery
        Systems and Infrastructures
        Multimedia Systems and Middleware
        Software Infrastructure for Data Analytics
        Distributed Multimedia Systems and Cloud Computing
        Data Management
        Multimedia Data Collections, Modeling, Indexing, or Storage
        Data Integrity, Security, Protection, Privacy
        Standards and Policies for Data Management
        Novel Applications
        Multimedia applications for health and sports
        Multimedia applications for culture and education
        Multimedia applications for fashion and living
        Multimedia applications for security and safety
        Internet of Multimedia Things
        Real-Time Data Processing
        Autonomous Systems such as Driverless Cars, Robots, and Drones
        Mobile and Wearable Multimedia

* IEEE Technical Committee on Multimedia Computing (TCMC) will sponsor
  5-6 student registration scholarships. Preference will be given to
  student authors

Important Dates:
        Regular and Short Paper Submission: March 28, 2022 [Extended]
        Notification of acceptance: May 10, 2022
        Camera ready due: July 1, 2022 
        Conference Date: August 2 – 4, 2022

General Co-Chairs:
        C.-C. Jay Kuo (University of Southern California, USA)
        Klara Nahrstedt (University of Illinois at Urbana-Champaign, USA)
        Yong Rui (Lenovo Group, China)
        Guan-Ming Su (Dolby Labs, USA)

Program Co-Chairs:
        Ming-Ching Chang (State University of New York at Albany, USA)
        Abdulmotaleb El Saddik (University of Ottawa, Canada)
        Yan Tong (University of South Carolina, USA)
        Bihan Wen (Nanyang Technological University, Singapore)

Document Analysis Systems, IAPR Intl Workshop (last call for short papers)

What: 15th IAPR International Workshop on Document Analysis Systems
When: 22-25 May, 2022
Where: La Rochelle, France + online
URL: https://das2022.univ-lr.fr/

DAS 2022 is the 15th international IAPR-sponsored workshop dedicated towards system-level approaches and related challenges in document analysis and recognition. Short papers provide an opportunity to report on research in progress, to present demos and novel positions on document analysis systems. Short papers (up to 4 pages in length) will undergo review and will appear in an extra booklet, not in the official DAS2022 proceedings.

Submission link : https://easychair.org/my/conference?conf=das2022

  IMPORTANT DATES FOR SHORT PAPERS

15 March 2022: Short paper submission deadline
01 April 2022: Short paper acceptance notification
22 April 2022: Short paper camera ready version

  ABOUT DAS 2022

DAS 2022 is the 15th international IAPR-sponsored workshop dedicated towards system-level approaches and related challenges in document analysis and recognition. This includes models, methods, and relevant applications satisfying real-world engineering requirements. The workshop provides an exciting platform for interactions and high-level technical exchanges between industrial and academic communities. The DAS 2022 program will include invited talks, oral and poster paper presentations, tutorials, demonstrations, and working group discussions. 

DAS 2022 will be held in the historical city of La Rochelle located on the French Atlantic coast. La Rochelle is famous for its old port, stunning seaside views, urban beaches, and for the second largest private aquarium in Europe. Online/virtual participation will also be available for DAS 2022 authors and participants.

  TOPICS OF INTEREST

* Document analysis systems
* Document understanding
* Layout analysis
* Camera-based document analysis
* Document analysis for digital humanities
* Document analysis for libraries and archives
* Document analysis for the internet
* Document analysis for mobile devices
* Document authentication
* Document datasets
* Document image watermarking
* Document retrieval
* Deep learning for document analysis systems
* Information extraction from document images
* Graphics recognition
* Table and form processing
* Mathematical expression recognition
* Forensic document analysis
* Historical document analysis
* Multilingual document analysis
* Multimedia document analysis
* Pen-based input and its analysis
* NLP for document analysis
* Human document interaction
* Authoring, annotation, and presentation systems
* Performance evaluation
* Applications

CfP: The 8th Int. Online & Onsite Conf. on Machine Learning, Optimization & Data Science – LOD 2022, September 18-22, Certosa di Pontignano, Tuscany Paper Submission Deadline: March 23

The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science – #LOD2022 – September 18-22, Certosa di Pontignano, #Tuscany – Italy

LOD 2022, An Interdisciplinary Conference: #MachineLearning, #Optimization, #BigData & #ArtificialIntelligence, #DeepLearning without Borders

https://lod2022.icas.cc

lod@icas.cc

PAPERS SUBMISSION: March 23 (Anywhere on Earth)
All papers must be submitted using EasyChair:
https://easychair.org/conferences/?conf=lod2022

LOD 2022 KEYNOTE SPEAKER(S):
* Pierre Baldi, University of California Irvine, USA

* Jürgen Bajorath, University of Bonn, Germany

LOD 2022 TUTORIAL SPEAKER:
* Simone Scardapane, University of Rome “La Sapienza”, Italy

ACAIN 2022 KEYNOTE SPEAKERS:

* Marvin M. Chun, Yale University, USA

* Ila Fiete, MIT, USA

* Karl Friston, University College London, UK & Wellcome Trust Centre for Neuroimaging

* Wulfram Gerstner, EPFL, Switzerland

* Máté Lengyel, Cambridge University, UK

* Max Erik Tegmark, MIT, USA & Future of Life Institute

* Michail Tsodyks, Institute for Advanced Study, USA

More Lecturers and Speakers to be announced soon!

https://acain2022.artificial-intelligence-sas.org/course-lecturers/

PAPER FORMAT:
Please prepare your paper using the Springer Nature – Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF.

TYPES OF SUBMISSIONS:
When submitting a paper to LOD 2022, authors are required to select one of the following four types of papers:

* long paper: original novel and unpublished work (max. 15 pages in Springer LNCS format);

* short paper: an extended abstract of novel work (max. 5 pages);

* work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference;

* abstract for poster presentation only (max 2 pages; any format). The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant, and which may solicit fruitful discussion at the conference.

Each paper submitted will be rigorously evaluated. The evaluation will ensure the high interest and expertise of reviewers. Following the tradition of LOD, we expect high-quality papers in terms of their scientific contribution, rigor, correctness, novelty, clarity, quality of presentation and reproducibility of experiments.
Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact.

It is also possible to present the talk virtually (Zoom).

LOD 2022 Special Sessions:
https://lod2022.icas.cc/special-sessions/
https://easychair.org/my/conference?conf=lod2022

PAST LOD KEYNOTE SPEAKERS:
https://lod2022.icas.cc/past-keynote-speakers/

Yoshua Bengio, Head of the Montreal Institute for Learning Algorithms (MILA) & University of Montreal, Canada
Bettina Berendt, TU Berlin, Germany & KU Leuven, Belgium, and Weizenbaum Institute for the Networked Society, Germany
Jörg Bornschein, DeepMind, London, UK
Michael Bronstein, Imperial College London, UK
Nello Cristianini, University of Bristol, UK
Peter Flach, University of Bristol, UK, and EiC of the Machine Learning Journal
Marco Gori, University of Siena, Italy
Arthur Gretton, UCL, UK
Arthur Guez, Google DeepMind, Montreal, UK
Yi-Ke Guo, Imperial College London, UK
George Karypis, University of Minnesota, USA
Vipin Kumar, University of Minnesota, USA
Marta Kwiatkowska, University of Oxford, UK
George Michailidis, University of Florida, USA
Kaisa Miettinen, University of Jyväskylä, Finland
Stephen Muggleton, Imperial College London, UK
Panos Pardalos, University of Florida, USA
Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for Intelligent Systems, Germany
Tomaso Poggio, MIT, USA
Andrey Raygorodsky, Moscow Institute of Physics and Technology, Russia
Mauricio G. C. Resende, Amazon.com Research and University of Washington Seattle, Washington, USA
Ruslan Salakhutdinov, Carnegie Mellon University, USA, and AI Research at Apple
Maria Schuld, Xanadu & University of KwaZulu-Natal, South Africa
Richard E. Turner, Department of Engineering, University of Cambridge, UK
Ruth Urner, York University, Toronto, Canada
Isabel Valera, Saarland University, Saarbrücken & Max Planck Institute for Intelligent Systems, Tübingen, Germany

TRACKS & SPECIAL SESSIONS:
https://lod2022.icas.cc/special-sessions/

BEST PAPER AWARD:
Springer sponsors the LOD 2022 Best Paper Award
https://lod2022.icas.cc/best-paper-award/

PROGRAM COMMITTEE:
https://lod2022.icas.cc/program-committee/

VENUE:
https://lod2022.icas.cc/venue/

The venue of LOD 2022 will be The Certosa di Pontignano — Siena

The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
info@lacertosadipontignano.com
https://www.lacertosadipontignano.com/en/index.php
Contact person: Dr. Lorenzo Pasquinuzzi

You need to book your accommodation at the venue and pay the amount for accommodation directly to the Certosa di Pontignano.

ACTIVITIES:
https://lod2022.icas.cc/activities/

POSTER:
https://lod2022.icas.cc/wp-content/uploads/sites/20/2022/02/poster-LOD-2022-1.png

Submit your research work today!

https://easychair.org/conferences/?conf=lod2022

See you in the beautiful Tuscany in September!

Best regards, 
  LOD 2022 Organizing Committee

LOD 2022 NEWS:
https://lod2022.icas.cc/category/news/

Past Editions
https://lod2022.icas.cc/past-editions/

LOD 2021, The Seventh International Conference on Machine Learning, Optimization and Big Data
Grasmere – Lake District – England, UK. Nature Springer – LNCS volumes 13163  and 13164.
LOD 2020, The Sixth International Conference on Machine Learning, Optimization and Big Data
Certosa di Pontignano – Siena – Tuscany – Italy. Nature Springer – LNCS volumes 12565 and 12566.
LOD 2019, The Fifth International Conference on Machine Learning, Optimization and Big Data
Certosa di Pontignano – Siena – Tuscany – Italy.
Nature Springer – LNCS volume 11943.
LOD 2018, The Fourth International Conference on Machine Learning, Optimization and Big Data
Volterra – Tuscany – Italy. Nature Springer – LNCS volume 11331.
MOD 2017, The Third International Conference on Machine Learning, Optimization and Big Data
Volterra – Tuscany – Italy. Springer – LNCS volume 10710.
MOD 2016,  The Second International Workshop on Machine learning, Optimization and big Data
Volterra – Tuscany – Italy. Springer – LNCS volume 10122.
MOD 2015, International Workshop on Machine learning, Optimization and big Data
Taormina – Sicily – Italy. Springer – LNCS volume 9432.

https://www.facebook.com/groups/2236577489686309/

https://twitter.com/TaoSciences

https://www.linkedin.com/groups/12092025/

lod@icas.cc

https://lod2022.icas.cc

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