ICMR2021 - ICDAR 2021
The 2nd workshop on Intelligent Cross-Data Analysis and Retrieval

Taipei, Taiwan, July 12-15, 2021

Important Dates

Call for Papers✓ April 20, 2021. Deadline forWorkshop Paper Submission.
✓ May 20, 2021. Notification ofAcceptance for Workshop Papers.
✓ (TBA). Camera-Ready Workshop
Papers Due.
✓ (TBD). ICMR 2021 Workshops Day.

People can currently collect data from themselves and theirsurrounding environment quickly due to the exponential
development of sensors, communication technologies, and socialnetworks. Besides, data has evolved and become more intelligent
than ever. Thanks to artificial intelligence and advanced
application techniques, data can now be presented in meaningfulforms that provide more information and knowledge for othernear-human cognitive analytics and retrieval. The ability to collectsuch (intelligent) data opens the new opportunity to understandbetter the association between human beings and thesurrounding environment's properties (i.e., humans as thecenter). These associations can be utilized for intelligence,planning, controlling, retrieval, and decision making efficiently
and effectively by governments, industries, and citizens.
Wearable sensors, lifelog cameras, and social networks can reportpeople's health, activities, and behaviors from the first-view
perspective. In contrast, surrounding sensors, social network
interaction, and third-party data can give the third-view
perspective of how their society activities look like. Several
investigations have been done to deal with each perspective, but
few investigations focus on analyzing and retrieving cross-datafrom different perspectives to bring better benefits to humanbeings.
Example topics of interest include but is not limited to thefollowingOrganizers✓ Minh-Son Dao, National Instituteof Information andCommunications Technology(NICT), Japan✓ Cathal Gurrin, Dublin CityUniversity, Ireland✓ Michael Alexander Riegler, Simula
Metropolitan Center for DigitalEngineering, Norway✓ Duc-Tien Dang-Nguyen, Bergen
University, Norway✓ Thanh-Binh Nguyen, Vietnam
National University in HCM city

Paper Submission✓ All papers must be formatted
according to the ACM proceedings
style.
✓ All technical content including themain text, figures, tables, andreference should be included
within 6 pages.
✓ For any over-length submission,
we reserve the right to reject it
outright on administrative basis.

Website✓ http://www2.nict.go.jp/bidal/icda
r_icmr2021/index.html✓ Email: dao@nict.go.jp✓ Event-based cross-data retrieval✓ Data mining and AI technology to discover and predict spatialtemporal-semantic correlations between cross-data.
✓ Complex event processing for linking sensors data fromindividuals, regions, to broad areas dynamically.
✓ Transfer Learning from one region to another region to
construct or customize similar analysis and prediction ofevents using locally-collected data effectively and efficiently.
✓ Hypotheses Development of the associations within theheterogeneous data contributes towards building good
multimodal models that make it possible to understand theimpact of the surrounding environment on human beings at
the local and individual scale.
✓ Realization of a prosperous and independent region in whichpeople and nature coexist.
✓ Applications leverage intelligent cross-data analysis for aparticular domain.
✓ Cross-datasets for Repeatable Experimentation.