Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval / edited by Guillaume Habault [and five others].

Format:

Book

Contributor:

Habault, Guillaume, editor.

Series:

ACM Conferences

Language:

English

Subjects (All):

Artificial intelligence--Congresses.

Artificial intelligence.

Physical Description:

1 online resource (66 pages)

Other Title:

ICDAR '23

Place of Publication:

New York, New York : Association for Computing Machinery, 2023.

Summary:

It is our great pleasure to welcome you to the Second Workshop on Intelligence Cross-data Analytics and Retrieval - ICDAR' 21, co-located with ICMR2021. Cross-data analytics and retrieval have attracted significant attention recently. 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 humancentered problems. This workshop encourages people to share their experiences and brave new ideas towards making cross-data more intelligent by compensating each type of data's strengths and propose a new way to analyze and retrieve cross-data under different perspectives. 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 an innovative, 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.

Notes:

Description based on publisher supplied metadata and other sources.