Connectionists: the fifth ICDAR workshop on Intelligent Cross-Data Analysis and Retrieval, ACM ICMR 2024 (ICDAR'24)

[dao at nict.go.jp]

the fifth ICDAR workshop on Intelligent Cross-Data Analysis and 
Retrieval, ACM ICMR 2024
(ICDAR'24)

https://www2.nict.go.jp/bidal/icdar_icmr2024/index.html

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.