The Science Partner Journal (SPJ) Intelligent Computing is now seeking submissions for a special issue, Deep Learning for Cross-Media Analysis and Knowledge Discovery (https://spj.sciencemag.org/intelligent-computing-special-issues/cross-media-analysis/)

Scope

Nowadays, there are lots of heterogeneous and homogeneous media data from different sources, such as news media websites, mobile phones, social networking websites, TikTok, etc. Integrated together, these media data represent different aspects of the real-world and help document the evolution of the world. Consequently, it is impossible to correctly conceive and to appropriately understand the world without exploiting the data available on these different sources of rich multimedia content simultaneously and synergistically. Cross-media analysis is a research area in the general field of multimedia content analysis that focuses on the exploitation of the data with different modalities from multiple sources simultaneously and synergistically to discover knowledge and understand the world.

Topics of Interest

This special issue is dedicated to the techniques for cross-media analysis and knowledge discovery. Topics of interest include, but are not limited to:

·      Explainable cross-media data analytics

·      Knowledge-driven cross-media data analytics

·      Multimodal data analytics with deep learning

·      Multimodal data intelligent computing

·      Multimodal knowledge graph construction for cross-media data analytics

·      Domain-specific applications of cross-media data analytics and knowledge discovery

Guest Editors

Ÿ  Dr. Hehe Fan, National University of Singapore, Singapore

Ÿ  Professor Xiaojun Chang, University of Technology Sydney, Australia

Ÿ  Professor Yi Yang, Zhejiang University, China

Ÿ  Professor Alex Hauptmann, Carnegie Mellon University, US

Submission Timeline

Paper submission: 30th September 2022

Review notification: 16th November 2022

Reviewed submission: 5th December 2022

Sheng Jiang

Managing Editor

Intelligent Computing

Zhejiang Lab/AAAS

Hangzhou, Zhejiang Province, China