Special Issue on Multimedia and Machine Learning Approaches for Data Analytics

  in Special Issue   Posted on December 22, 2018

Information for the Special Issue

Submission Deadline: Wed 30 Jan 2019
Journal Impact Factor : 1.530
Journal Name : Multimedia Tools and Applications
Journal Publisher:
Website for the Special Issue: https://static.springer.com/sgw/documents/1645793/application/pdf/MTAP+CFP+-+1129T.pdf
Journal & Submission Website: http://www.springer.com/computer+science/information+systems+and+applications/journal/11042

Special Issue Call for Papers:

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 multi-modal 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.

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.

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.

Closed Special Issues


Transfer Learning for Multimedia Applications

Multimedia Tools and Applications
Mon 31 Dec 2018