Workshop on Multimedia Analytics for Societal Trends (MAST)

In conjunction with the 2018 International Conference on Multimedia and Expo



Important Dates

Paper submission due: March 26, 2018

Decision notification: April 27, 2018

Camera ready version due: May 11, 2018



Workshop flyer



Sumbission Instructions

Papers will be evaluated based on their novelty, presentation, contributions and relevance to the workshop topic.
The papers must be written in English and describe original unpublished work.
Extensions on previously published work must show significant additional work in order to be considered for publication.
Reviewers will make an initial determination on the suitability and scope of all submissions.

Papers must be no longer than 6 pages IEEE 2-column format, including all text, figures and references
Templates for Word and Latex submissions
Please submit your papers through the online submission system here.
When submitting your paper please select "Multimedia Analytics and Social Trends" as the subject area.



Contact us

Naveen Kumar
naveen1.kumar@sony.com,
Sony Interactive Entertainment America

Shri Narayanan,
shri@sipi.usc.edu,
Professor, University of Southern California



Motivation

The widespread reach of media has extended beyond movies and ads to internet-based platforms that share user-generated images and videos. While automated analysis is indispensable for traditional multimedia areas i.e. navigating, indexing and organizing diverse and vast media databases, more recently, an emerging trend in this area has been to improve and facilitate personal and social activities, insight generation, and interaction experience. Research effort has been directed towards developing computational tools and methodologies for systematic study of trends and biases in commercially produced media forms, such as movies. Yet another emerging area involves studying the impact of such content on the end users.
One of the major research challenges in this area is that at the core of reliable analytics lie reliable algorithms. These algorithms must be robust under a diverse set of synthesized yet seemingly realistic background conditions. Depending on the type of media, these conditions could manifest themselves in the audio or video channels and could even vary within the duration of the content, thereby making it challenging to apply off-the-shelf techniques from other domains. Analysis of such content necessitates the design and training of customized algorithms that seek to exploit specific properties of or additional structure in the data. Infact, for most vision or audio related tasks, produced media data proves to be one of the most difficult benchmarks. This issue is further compounded by absence of any large in-domain datasets with reliable annotations. As a result, research in this field often requires a mix of clever data mining techniques and approaches from semi-supervised or transfer learning. Finally, this research area is also becoming exceedingly multi-disciplinary requiring skills from a variety of fields including engineering, film studies, psychology and social sciences. Thus the main purpose of this workshop is to facilitate conversation between different groups of researchers and provide a platform where they can share progress and updates in recent research on media analytics for societal trends. We sincerely hope that submitted manuscripts will help develop this new and important area of research, enabling discussion on its potential challenges and shedding light on some areas for future work.