Special Issue on “Intelligent Computational Techniques for
Multimodal Data”
Real-world applications produced massive amount of data with multiple modalities such
as image, audio, video, and text. A multimodal analysis incorporates all the
communicative modes that can be identified in the scope of recorded human interaction
allowing researchers to answer both the question of how people use their linguistic
resources and how these resources are structured for use. Extraction of meaningful
inferences from such a large-scale, multimodal and noisy data is a challenging and
interesting research topic.
The growing amount of research conducted in this field, combined with advances in
Artificial Intelligence, Computer Vision and Machine learning, has led to the development
of advanced intelligent systems that aim to detect and process affective information
contained in multimodal sources. In addition to the many issues of recognition, sensing,
usability, and interaction, there are potentially quite significant issues associated with
multimodal systems in order to provide potential security and privacy.
This special issue intends to bring together for theoreticians and practitioners from
academic fields and industries worldwide working in the broad range of topics relevant to
machine learning techniques in the field of multimodal data processing and analysis,
including cross modal search and retrieval, cross-modal hashing, multimodal recognition
and fusion. Application areas can cover but are not limited to Robotics, Human-Computer
Interaction, Image processing, Social Media, Video Surveillance and Computer Vision.
Recommended topics include (but are not limited to) the following:
• Multimodal data fusion
• Mathematical modeling for multimodal data
• Multimodal for signal processing
• Multimodal multimedia data
• Multimodal imaging data
• Multimodal social media data
• Multimodal retrieval systems
• Multimodal Big data Analytics
• Novel dataset and benchmark for Multimodal data
• Data mining and knowledge discovery and data visualization
• Deep learning, supervised learning and un-supervised learning
Important Dates:
• Paper submission deadline: February 15, 2018
• First notification: March 30, 2018
• Second Notification: May 30, 2018
• Final decision: July 15, 2018
• Publication(Tentative): August 30, 2018