Intelligent Cross-Data Analysis and Retrieval Call for Papers

Fifth ICDAR workshop on 
Intelligent Cross-Data Analysis and Retrieval, ACM ICMR 2024

June 14-16, 2024, Phuket, Thailand

(*** Submission Deadline: 15th March, 2024 AoE ***)

We invite submissions for our workshop that focuses on the relevance
and significance of multimedia analytics and retrieval in the context
of the broader societal landscape. Over the past decade, significant
advancements have been made in multimedia analytics and retrieval,
allowing for precise and rapid extraction of data insights. This
progress has led to numerous applications that enhance various aspects
of human lives. However, the diverse perspectives embedded in
multimedia and other data types present a complex puzzle that requires
assembly to address human-centered challenges effectively. The
workshop aims to bring together individuals working with multimedia
and other data types across diverse research domains and disciplines,
such as wellbeing, disaster prevention & mitigation, mobility, food
computing, security, and smart cities. We encourage contributions that
explore the originality and novelty of proposed topics related to the
integration of diverse multimodal data. The current era witnesses the
exponential growth of sensors, communication technologies, and social
networks, enabling individuals to collect data swiftly from themselves
and their environments. Coupled with artificial intelligence and
advanced application techniques, data has evolved into a more
intelligent form, providing valuable information and knowledge for
near-human cognitive analytics and retrieval. This intelligent data
collection offers new opportunities to better understand the intricate
associations between human beings and their surroundings. The workshop
specifically calls for submissions addressing the analysis and
retrieval of cross-data from different perspectives, focusing on
wearable and ambient sensors, lifelog cameras, social networks, and
surrounding sensors. While several investigations have explored
individual perspectives, there is a limited focus on analyzing and
retrieving cross-data to maximize the benefits for human beings.

Researchers are invited to contribute to this endeavor, aiming to
create a smart and sustainable society by efficiently utilizing
intelligent cross-data analysis and retrieval. Possible application
domains for submitted works include, but are not limited to,
well-being, disaster prevention & mitigation, mobility, and food
computing. We encourage researchers from various backgrounds to engage
in this workshop, fostering collaboration and innovation in the field
of intelligent cross-data analysis and retrieval.

Example topics of interest include but is not limited to the following 
- Event-based cross-data retrieval, data mining, and AI technology. 
- Complex event processing for linking sensors data from individuals, regions to broad areas dynamically. 
- Transfer Learning and Transformers. Hypotheses Development of the associations within the heterogeneous data. 
- 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, Federated Learning, and Edge AI for cross-data. 
- Privacy-public data collaboration. 
- Integration of diverse multimodal data.