学会員メーリングリストアーカイブ (2019年)

[dbjapan] CFP: 2nd Int. Workshop on AI for 3D Big Spatial Data (AI3D), 9 Dec., 2019, CA, USA


Second International Workshop on Artificial Intelligence for 3D Big Spatial Data Processing (AI3D 2019)
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Co-located with IEEE ISM 2019, San Diego, California, USA, December 9-11, 2019

Weblink: https://sites.google.com/view/ai3d2019/home

Recent advances in laser technology has evolved the importance of 3D spatial data and challenges considering is processing and management. 3D spatial data is
usually generated as a stream of points by mounting scanning equipment on drones and cars for large area scanning or on some stationary platform for small area
scanning or indoor scanning. The 3D spatial data offer a useful source of information for natural resource management, urban planning, autonomous driving, etc.
Artificial intelligence (AI) has the potential to take the 3D spatial data processing into hypergrowth. Recently, 3D indoor mapping systems, terrestrial mobile mapping
systems (MMS) and airborne LiDAR systems are capable of collecting terabytes of data (including images and point clouds) in  a single scan or on a single trip. Existing
approaches and tools lack the efficient management, processing and analysis of 3D spatial data. The solution to this problem lies in the use of Artificial Intelligence and
Deep Learning to redefine the workflow. This workshop focuses on the use of Artificial Intelligence and Deep Learning to improve the processing, management and
analysis of 3D Big Spatial data. The workshop aims at providing a platform to the group of researchers working in this direction to share their work, exchange ideas,
and solve research problems.


Topics of Interest
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A list of topics of interest includes but is not limited to:

AI and the 3D scanning technologies and devices
Use of AI in 3D view registration and surface modeling
Intelligent LiDAR data processing, management and analysis
Point cloud data processing and analysis
Spatio-temporal data processing and analysis
Geo spatial data processing and analysis
Distributed, parallel and peer-to-peer approaches to index, search and process 3D Big spatial data
AI based object detection from point cloud and images
Supervised/Unsupervised object annotation in 3D data
Point cloud data indexing and querying
3D Big spatial data architectures
3D Big spatial data visualization and analytics
3D Big spatial data cleaning, compression and integration
Geographic Information Retrieval
Indoor and outdoor mapping
3D mapping
Urban Planning
Spatial data applications
User Interfaces and Visualization


AI3D 2019 Special Journal Issues
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Accepted and presented papers at AI3D2019 will be considered for publication in Special Issues of the International Journals.
Authors of the selected AI3D 2019 workshop papers will be invited to submit their work with further revision and extension to the special issues of the following journal:

1- Sensors (Special Issue for AI3D 2019)
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The sensors is an Open Access journal with High Visibility (indexed by the Science Citation Index Expanded, MEDLINE, Ei Compendex, Inspec and Scopus) and High Impact Factor (2.475 (2017) ; 3.014 (5-Years)).

1- Remote Sensing (Special Issue for Data Science, Artificial Intelligence and Remote Sensing)
The remote sensing is an Open Access journal with High Visibility (Science Citation Index Expanded, Scopus, Ei Compendex, and others) and High Impact Factor (3.406 (2017) ; 3.952 (5-Years)).

Submission Instructions and Review Process
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Authors are invited to submit an 8-page (regular), 4-page (short), and 2-4 page (vision or on-going) manuscript in double-column IEEE format. Manuscripts must be written
in English and follow the instructions in the Manuscript Formatting and Templates page.

Document templates are located at:
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Word (http://media.wix.com/ugd/346a54_3feb3b10846a4532951e3fcae6767fae.doc?dn=MSW_USltr_format%20(2).doc)
LaTeX (http://ism2017.asia.edu.tw/wp-content/uploads/2017/01/ieeetran5.zip)
LaTeX (Bibliography Files) (http://ism2017.asia.edu.tw/wp-content/uploads/2017/01/ieeetranbst1.zip)

All paper submissions will be carefully reviewed by at least three experts and reviews will be returned to the author(s) with comments to ensure the high quality of the accepted papers.
The authors of accepted papers must guarantee that their paper will be presented at the workshop. Please only submit original material where copyright of all parts is owned by the
authors declared and which is not currently under review elsewhere. Please see the IEEE policies for further information.

Manuscript Submission Instructions:
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Only electronic submission will be accepted. Technical paper authors MUST submit their manuscripts through EasyChair. Manuscripts may only be submitted in PDF format.

Camera-ready Submission Instructions:
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Your final papers MUST be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see the templates listed earlier). It is highly recommended that
you proofread and check the layout of your paper BEFORE submitting.

Note:
Every paper accepted for publication in the Proceedings MUST be presented during the workshop.
Every paper accepted MUST have attached to it at least one registration at the full member/nonmember rate. Thus, for a paper for which all authors are students, one student author
will be required to register at the full registration rate. Failure to do so will result in removal of your paper from the conference proceedings. Regular workshop papers allow up to 2
extra pages and short papers up to 1 extra page with $150 per extra page.

Contribution Types:
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Full research paper:  8 pages
Short research paper: 4 pages
Vision or on-going research paper: 2-4 pages

Key Dates:
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Paper submission deadline:  September 22, 2019
Notification of acceptance:  October 21, 2019
Camera ready deadline:  October 31, 2019
Workshop date:  December 9, 2019


Organization Committee
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General Co-Chairs:

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Prof. Dr. Sisi Zlatanova, UNSW, Australia
Dr. Kyoung-Sook Kim, AIRC, AIST, Japan

Program Co-Chairs:
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Dr. Salman Ahmed Shaikh, AIRC, AIST, Japan
Dr. Jun Lee,  AIRC, AIST, Japan

PC Members:
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Prof Dr. Liangliang Nan, TU Delft, Netherlands
Prof. Dr. Adam Jatowt, Kyoto University, Japan
Dr. Akiyoshi Matono, AIRC, AIST, Japan
Dr. Jianquan Liu, NEC, Japan
Prof. Dr. Omar Arif, NUST, Pakistan
Prof. Dr. Mohsin Memon, MUET, Pakistan
Dr. Savong Bou, Toyota Technological Institute, Japan
Dr. Chidchanok Choksuchat, Prince of Songkla University, Thailand
Dr. Yuyang Dong, NEC, Japan
More to be added

For any query, contact us at: ai3d2019-ml [at] aist.go.jp
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Best Regards, 
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Salman Ahmed Shaikh
Research Scientist
Artificial Intelligence Research Center (AIRC)
National Institute of Advanced Industrial Science and Technology (AIST)
Tokyo Waterfront 2-4-7 Aomi, Koto-ku, Tokyo 135-0064 JAPAN