[CfP][Deadline Extended] ICMR 2023 - workshop on Intelligent Cross-data Analysis and Retrieval
Minh S. Dao
[CfP][Deadline Extended] ICMR 2023 - workshop on Intelligent Cross-data Analysis and Retrieval
ICMR 2023
4th Workshop on Intelligent Cross-Modal Analysis and Retrieval
The fourth ICDAR Workshop, ICMR2023 (nict.jp)
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:
l Event-based cross-data retrieval Data mining and AI technology.
l Multimodal complex event processing. Transfer Learning and Transformers.
l Multimodal self-supervised learning Heterogeneous data association discovery.
l Cross-datasets for Repeatable Experimentation.
l Federated Analytics and Federated Learning for cross-data.
l Privacy-public data collaboration.
l Diverse multimodal data Integration.
l Realization of a prosperous and independent region in which people and nature coexist
l Intelligent cross-data analysis applications from different domains
We invite the following two types of papers:
l 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
l 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:
· 28 February 2023: 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.