TY - GEN
T1 - Summary of MuSe 2020
T2 - 28th ACM International Conference on Multimedia, MM 2020
AU - Stappen, Lukas
AU - Schuller, Björn
AU - Lefter, Iulia
AU - Cambria, Erik
AU - Kompatsiaris, Ioannis
N1 - Publisher Copyright:
© 2020 Owner/Author.
PY - 2020/10/12
Y1 - 2020/10/12
N2 - The first Multimodal Sentiment Analysis in Real-life Media (MuSe) 2020 was a Challenge-based Workshop held in conjunction with ACM Multimedia'20. It addresses three distinct 'in-the-wild' Sub-challenges: sentiment/ emotion recognition (MuSe-Wild), emotion-target engagement (MuSe-Target) and trustworthiness detection (MuSe-Trust). A large multimedia dataset MuSe-CaR was used, which was specifically designed with the intention of improving machine understanding approaches of how sentiment (e.g. emotion) is linked to a topic in emotional, user-generated reviews. In this summary, we describe the motivation, first of its kind 'in-the-wild' database, challenge conditions, participation, as well as giving an overview of utilised state-of-the-art techniques.
AB - The first Multimodal Sentiment Analysis in Real-life Media (MuSe) 2020 was a Challenge-based Workshop held in conjunction with ACM Multimedia'20. It addresses three distinct 'in-the-wild' Sub-challenges: sentiment/ emotion recognition (MuSe-Wild), emotion-target engagement (MuSe-Target) and trustworthiness detection (MuSe-Trust). A large multimedia dataset MuSe-CaR was used, which was specifically designed with the intention of improving machine understanding approaches of how sentiment (e.g. emotion) is linked to a topic in emotional, user-generated reviews. In this summary, we describe the motivation, first of its kind 'in-the-wild' database, challenge conditions, participation, as well as giving an overview of utilised state-of-the-art techniques.
KW - affective computing
KW - multimodal fusion
KW - multimodal sentiment analysis
KW - user-generated data
UR - http://www.scopus.com/inward/record.url?scp=85106571714&partnerID=8YFLogxK
U2 - 10.1145/3394171.3421901
DO - 10.1145/3394171.3421901
M3 - Conference contribution
AN - SCOPUS:85106571714
T3 - MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia
SP - 4769
EP - 4770
BT - MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia
PB - Association for Computing Machinery, Inc
Y2 - 12 October 2020 through 16 October 2020
ER -