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  4. ATQAM/MAST'20: Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends
 
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ATQAM/MAST'20: Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends

Journal
MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia
ISBN
9781450379885
Date Issued
2020-10-12
Author(s)
Guha, Tanaya
Hosu, Vlad
Saupe, Dietmar
Goldlücke, Bastian
Kumar, Naveen
Lin, Weisi
Martinez, Victor
Somandepalli, Krishna
Narayanan, Shrikanth
WEN-HUANG CHENG  
McLaughlin, Kree
Adam, Hartwig
See, John
Wong, Lai Kuan
DOI
10.1145/3394171.3421895
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/628559
URL
https://api.elsevier.com/content/abstract/scopus_id/85106974185
Abstract
The Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends (ATQAM/ MAST) aims to bring together researchers and professionals working in fields ranging from computer vision, multimedia computing, multimodal signal processing to psychology and social sciences. It is divided into two tracks: ATQAM and MAST. ATQAM track: Visual quality assessment techniques can be divided into image and video technical quality assessment (IQA and VQA, or broadly TQA) and aesthetics quality assessment (AQA). While TQA is a long-standing field, having its roots in media compression, AQA is relatively young. Both have received increased attention with developments in deep learning. The topics have mostly been studied separately, even though they deal with similar aspects of the underlying subjective experience of media. The aim is to bring together individuals in the two fields of TQA and AQA for the sharing of ideas and discussions on current trends, developments, issues, and future directions. MAST track: The research area of media content analytics has been traditionally used to refer to applications involving inference of higher-level semantics from multimedia content. However, multimedia is typically created for human consumption, and we believe it is necessary to adopt a human-centered approach to this analysis, which would not only enable a better understanding of how viewers engage with content but also how they impact each other in the process.
Subjects
aesthetics assessment | datasets | media consumption | multimedia | quality assessment | societal impact | visual enhancement
Type
conference paper

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