Connectionists: [CfP][Deadline Extended] The fourth ICDAR Workshop, ICMR2023

[dao at nict.go.jp]

ICMR 2023
4th Workshop on Intelligent Cross-Modal Analysis and Retrieval
The fourth ICDAR Workshop, ICMR2023 
https://www.xdata.nict.jp/icdar_icmr2023/index.html

The deadline has been extended to* March 10, 2023*

Data plays a critical role in human life. In the digital era, where data 
can be collected almost anywhere and at any time, people have access to 
a vast volume of real-time data that reflects their living environment 
in different ways. People can extract necessary information from these 
data to gain knowledge and become wiser. However, data often comes from 
multiple sources and only reflects a small part of the big puzzle of 
life. Despite potentially missing some pieces, the goal is to capture 
the puzzle's image with the available pieces. The more pieces of data we 
can collect and assemble within a given frame, the faster we can solve 
the puzzle. The challenge becomes even greater when dealing with 
multimodal data, cross-domain and cross-platform problems. A multimodal 
data puzzle would be one where pieces have different shapes and sizes. A 
cross-domain puzzle would be one where the pieces come from distinct sub
-pictures. Finally, a cross-platform puzzle would be one where the 
pieces assembled come from different puzzles. But it would help if you 
combined the pieces in all these scenarios to get the entire picture. 
Recent research has mainly focused on multimodal data analytics, but 
only a limited number of studies have been conducted on developing cross
-data retrieval systems, where data from one modality is used to infer 
data from another. Some examples of such research are textual query 
employed to look for images, such as drawing on lifelogging images to 
predict the air quality index, weather and tweets data used to predict 
traffic congestion, and predicting sleeping quality based on daily 
exercises and meals. The proposed research topic of "Intelligent Cross-
Data Analysis and Retrieval" aims to advance the field of cross-data 
analytics and retrieval and contribute to developing a more intelligent 
and sustainable society. This workshop welcomes researchers from diverse 
domains and disciplines, such as well-being, disaster prevention, 
mitigation, and mobility.

Example topics of interest include but is not limited to the following: 
	Event-based cross-data retrieval Data mining and AI technology. 
	Multimodal complex event processing. Transfer Learning and 
Transformers. 
	Multimodal self-supervised learning Heterogeneous data association 
discovery. 
	Cross-datasets for Repeatable Experimentation. 
	Federated Analytics and Federated Learning for cross-data. 
	Privacy-public data collaboration. 
	Diverse multimodal data Integration. 
	Realization of a prosperous and independent region in which people and 
nature coexist 
	Intelligent cross-data analysis applications from different domains

We invite the following two types of papers: 

	Full Paper: limited to 8 pages, plus additional pages for the list of 
references: Full Papers should describe the original contents with 
evaluations. They will be reviewed by more than two experts based on: 
Originality of the content, Quality of the content, Relevance to the 
theme, and Clarity of the written presentation 
	Short Paper: limited to 4 pages, plus additional pages for the list of 
references. Short papers should describe work in progress as position 
papers. They will be reviewed by two experts based on: Originality of 
the content, Relevance to the theme, and Clarity of the written 
presentation

Important dates:
•   10 March 2023 (Extended): Workshop Paper Submission.
•  31 March 2023: Workshop Paper Acceptance Notification.
•  20 April 2023: Workshop Camera-ready Submission / Copyright 
Submission Deadline.
•  TBA: Workshops Day.