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Fri, 9 Aug 2019 21:59:40 +0800
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*****

*Second workshop on Media Analytics for Societal Trends (MAST) @ ICMI
2019*Closing
the loop with impact and affect in human-media interactions

Traditional research on different forms of media analysis has been
primarily focused on the low and mid-level tasks, such as indexing and
summarization. With the availability  of big data and powerful learning
techniques, the human factors in media, such as the affective content,
insight generation, societal impact and trends. The second workshop on
Media Analytics for Societal Trends (MAST) comes at a critical time when
interest in human-centric media analytics is on the rise. MAST aims to
bring together researchers and professionals working in fields ranging from
multimedia computing, multimodal signal processing to social science, with
the goal to understand different computational tools and methodologies for
systematic study of affect in media and the various aspects of impact media
has on viewers, users and content creators.

Multimedia is a rich field for studying interactions at different scales:
how different modalities of the content (i.e., video, audio and language
use) interact with each other to provide rich storytelling; how the content
in the movies and videos convey message to the viewers, and how it
influences the viewers' perception; and how viewers and consumers interact
with the media content: proximally (e.g., movie ratings, box office
ratings), perceptually (affect, user reaction, perceived sentiment) and
long-term (e.g., influence of movie on portrayal on certain stereotypes)


*Workshop details*
The 2nd Workshop on Multimedia Analytics for Societal Trends (MAST) @ IEEE
International Conference on Multimodal Interaction (ICMI)
October 14, 2019 Suzhou, China
Website : http://sail.usc.edu/mica/mast

The scientific program of ICME MAST will include presentations for
submitted abstracts, invited plenary talks and panel discussions. To this
end, we solicit original research abstracts related (but not limited) to
the topics listed below.

1. Affect and sentiment analysis from media, single and multimodal (e.g.
emotional appeal, persuasiveness, emotion perception and communication)
2. Impact prediction and analysis (e.g. popularity, virality, memorability,
commercial success and influence of media content on society)
3. Human-media interaction.
4. Media analytics and methodologies (e.g. automated discovery of rich
analytics related to gender, profession, ethnicity, personality,
stereotypes, topics of discussion/conversation, and analysis of their
relationships and dynamics)
5. Large-scale media data collection, annotation and benchmarking.

Important Dates


*Paper submission due: Sept. 2, 2019Decision notification: Sept. 16, 2019*

Abstract Submission
Submitted abstracts can be up to 2 pages long but authors are encouraged to
submit more details if available at the time of submission.

Please visit the website https://sail.usc.edu/mica/mast for further details
on submission.

Organizers:
Naveen Kumar (Disney Research), Tanaya Guha (University of Warwick), Jeremy
Lee (NTHU Taiwan), Ming Li (Duke Kunshan University), Shri Narayanan (USC),
Krishna Somandepalli (USC).
******

Thanks

-- 
best,
Jeremy (李祈均)

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