We have witnessed the rise of cross-data against multimodal data
problems recently. The cross-modal retrieval system uses a textual
query to look for images; the air quality index can be predicted
using lifelogging images; the congestion can be predicted using
weather and tweets data; daily exercises and meals can help to
predict the sleeping quality are some examples of this research
direction. Although vast investigations focusing on multimodal data
analytics have been developed, few cross-data (e.g., cross-modal
data, cross-domain, cross-platform) research has been carried on.
In order to promote intelligent cross-data analytics and retrieval
research and to bring a smart, sustainable society to human beings,
the specific article collection on "Intelligent Cross-Data Analysis
and Retrieval" is introduced. This Research Topic welcomes those
who come from diverse research domains and disciplines such as
well-being, disaster prevention and mitigation, mobility, climate
change, tourism, healthcare, and food computing.