Important Dates

Full Paper Submission
October 30, 2018

Acceptance Notification 
November 30, 2018

December 31, 2018

Conference Date
February 19-20, 2019

  We are living in the era of data deluge. The world of big data exhibits a rich and complex set of multimedia contents, such as text, image, video, audio and graphics. So far, great research efforts have been separately dedicated to big data processing and multimedia mining, with well-grounded theoretical underpinnings and great practical success. However, studies jointly considering multimedia big data analytics are relatively sparse. This research gap needs more of our attention, since it will be beneficial to develop many real-world applications that can solve complex problems and help in decision making. Despite its significance and value, it is non-trivial to analyze multimedia big data due to their heterogeneity, large-scale volume, increasing size, unstructured nature, correlations, and noise. Multi-modal Information systems, which can be treated as the most significant breakthrough in the past 10 years, have greatly impacted the methodologies utilized in computer vision and achieved terrific progress in both academia and industry.

  Intelligent Systems and big data analytics have been recognized as one of the most important developments in the Multi-modal Informatics domain. Current research has focused on the development of computational intelligence techniques such as bio/nature-inspired computing within the artificial intelligence domain. Similarly, there is an upsurge in the application of semantic technologies and multi-agent systems in a variety of fields such as bio informatics, electronic medical records, supply chain management, robotics, social media analytics, mobile technology, intelligent scheduling, medical information retrieval and filtering, decision support, and wearable computing. While research on various aspects of intelligent systems and semantic technologies is progressing at a very fast pace, this is only the beginning. There are still a number of issues that have to be explored in terms of the design, implementation and deployment of intelligent applications and multi-agent systems in the multi-modal information systems domain. For example, development of novel techniques for computational intelligence in support of deep learning, formal approaches for designing multi-modal information systems and agent based applications, ontology based multi-modal systems, and organizational impact of intelligent multi-modal systems in different domains such as manufacturing, business and financial sectors, healthcare and education are some of the areas in need of further research.