Intelligent Cross-Data Analysis and Retrieval Call for Papers

The second workshop on 
Intelligent Cross-Data Analysis and Retrieval - ICMR 2021
deadline: extended to 25th April, 2021

Call for papers

People can currently collect data from themselves and their
surrounding environment quickly due to the exponential development of
sensors, communication technologies, and social networks. Besides,
data has evolved and become more intelligent than ever. Thanks to
artificial intelligence and advanced application techniques, data can
now be presented in meaningful forms that provide more information and
knowledge for other near-human cognitive analytics and retrieval. The
ability to collect such (intelligent) data opens the new opportunity
to understand better the association between human beings and the
surrounding environment's properties (i.e., humans as the
center). 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 report people'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-data from different perspectives to bring better
benefits to human beings.

Multimedia analytics and retrieval have gained significant improvement
within a decade. People can now extract more data insights precisely
and quickly towards having many excellent applications serving human
lives. Nevertheless, people create multimedia and other types of data
that reflect the diverse perspectives of human lives. In other words,
multimedia and other data types are just pieces of the puzzle of the
world's pictures. Hence, it is necessary to assembly all these pieces
towards having a better solution for human-centered problems. Hence,
the workshop welcomes those who work with multimedia and others and
come from diverse research domains and disciplines to work on
intelligent cross-data analytics and retrieval to bring a smart,
sustainable society to human beings. The research domain can vary from
well-being, disaster prevention, and mitigation, mobility to food
computing, to name a few.

- Example topics of interest include but is not limited to the following

- Event-based cross-data retrieval

- Data mining and AI technology to discover and predict
spatial-temporal-semantic correlations between cross-data.

- Complex event processing for linking sensors data from individuals,
regions to broad areas dynamically.

- Transfer Learning from one region to another region to construct or
customize similar analysis and predict events using locally collected
data effectively and efficiently.

- Hypotheses Development of the associations within the heterogeneous
data contributes towards building good multimodal models that make it
possible to understand the impact of the surrounding environment on
human beings at the local and individual scale.

- Realization of a prosperous and independent region in which people
and nature coexist.

- Applications leverage intelligent cross-data analysis for a particular domain.

- Cross-datasets for Repeatable Experimentation.

- Federated Analytics and Federated Learning for cross-data.

- Privacy-public data collaboration.

Followed by the success of the ICMR 2020 first workshop on intelligent
cross-data analytics and retrieval, the second ICDAR workshop aims to
provide the playground to people interested in the workshop's
topics. In this playground, people share their experiences and brave
new ideas towards making cross-data more intelligent by compensating
each type of data's strengths and propose a new way to analyze and
retrieve cross-data under different perspectives.

The accepted papers are expected to be published in the workshop
proceedings. Excellent papers are encouraged to submit to journals or
a special issue that the organizers will organize.

Paper Format

All papers must be formatted according to the ACM proceedings
style. Click on the link
( access Latex
and Word templates for this format. Please use "sample-sigconf.tex" as
a Latex template or "ACM_SigConf.doc" as a Word template. CCS code
generation support tool is available here.

Length Of The Paper

We invite the following two types of papers: Full Paper: limited to 8
pages, including all text, figures, and references: Full Papers should
describe original contents with evaluations. They will be reviewed by
more than two experts based on:

    The originality of the content
    Quality of the content based on evaluation
    Relevance to the theme
    Clarity of the written presentation

Short Paper: limited to 4 pages, including all text, figures, and
references. Short papers should describe work-in-progress as position
papers. They will be reviewed by two experts based on:

    The originality of the content
    Relevance to the theme
    Clarity of the written presentation