People can currently collect data from themselves and their surrounding environment quickly due to the exponential development of sensors, communication technologies, and social networks. Besides, data has evolved and become more intelligent than ever. Thanks to artificial intelligence and advanced application techniques, data can now be presented in meaningful forms that provide more information and knowledge for other near-humancognitive analytics and retrieval. The ability to collect such (intelligent) data opens the new opportunity to understand better the association between human beings and the surrounding environment's properties (i.e., humans as the center). These associations can be utilized for intelligence, planning, controlling, retrieval, and decision making efficiently and effectively by governments, industries, and citizens. Wearable sensors, lifelog cameras, and social networks can report people's health, activities, and behaviors from the first-view perspective. In contrast, surrounding sensors, social network interaction, and third-party data can give the third-view perspective of how their society activities look like. Several investigations have been done to deal with each perspective, but few investigations focus on analyzing and retrieving cross-data from different perspectives to bring better benefits to human beings.
Multimedia analytics and retrieval have gained significant improvement within a decade. People can now extract more data insights precisely and quickly towards having many excellent applications serving human lives. Nevertheless, people create multimedia and other types of data that reflect the diverse perspectives of human lives. In other words, multimedia and other data types are just pieces of the puzzle of the world's pictures. Hence, it is necessary to assembly all these pieces towards having a better solution for human-centered problems. Hence, the workshop welcomes those who work with multimedia and others and come from diverse research domains and disciplines to work on intelligent cross-data analytics and retrieval to bring a smart, sustainable society to human beings. The research domain can vary from well-being, disaster prevention and mitigation, mobility to food computing, to name a few.
Example topics of interest include but is not limited to the following