The MediaEval 2018 Emotional Impact of Movies Task

Emmanuel Dellandréa; Martijn Huigsloot; Liming Chen; Yoann Baveye; Zhongzhe Xiao; Mats Sjöberg

The MediaEval 2018 Emotional Impact of Movies Task

Emmanuel Dellandréa, Martijn Huigsloot, Liming Chen, Yoann Baveye, Zhongzhe Xiao, Mats Sjöberg

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

11 Citations (Scopus)

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Abstract

This paper provides a description of the MediaEval 2018 “Emotional Impact of Movies task". It continues to build on last year’s edition, integrating the feedback of previous participants. The goal is to create systems that automatically predict the emotional impact that video content will have on viewers, in terms of valence, arousal and fear. Here we provide a description of the use case, task challenges, dataset and ground truth, task run requirements and evaluation metrics.

Original language	English
Title of host publication	MediaEval 2018 - Multimedia Benchmark Workshop
Subtitle of host publication	Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia, Antipolis, France, 29-31 October 2018
Publisher	CEUR
Number of pages	3
Publication status	Published - 2018
MoE publication type	A4 Conference publication
Event	Multimedia Benchmark Workshop - Sophia Antipolis, France Duration: 29 Oct 2018 → 31 Oct 2018

Publication series

Name	CEUR Workshop Proceedings
Publisher	CEUR
Volume	2283
ISSN (Print)	1613-0073
ISSN (Electronic)	1613-0073

Workshop

Workshop	Multimedia Benchmark Workshop
Abbreviated title	MediaEval
Country/Territory	France
City	Sophia Antipolis
Period	29/10/2018 → 31/10/2018

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@inproceedings{985b2b9130ad4385a8f4573d8814437a,

title = "The MediaEval 2018 Emotional Impact of Movies Task",

abstract = "This paper provides a description of the MediaEval 2018 “Emotional Impact of Movies task{"}. It continues to build on last year{\textquoteright}s edition, integrating the feedback of previous participants. The goal is to create systems that automatically predict the emotional impact that video content will have on viewers, in terms of valence, arousal and fear. Here we provide a description of the use case, task challenges, dataset and ground truth, task run requirements and evaluation metrics.",

author = "Emmanuel Dellandr{\'e}a and Martijn Huigsloot and Liming Chen and Yoann Baveye and Zhongzhe Xiao and Mats Sj{\"o}berg",

year = "2018",

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR",

booktitle = "MediaEval 2018 - Multimedia Benchmark Workshop",

address = "Germany",

note = "Multimedia Benchmark Workshop, MediaEval ; Conference date: 29-10-2018 Through 31-10-2018",

}

Dellandréa, E, Huigsloot, M, Chen, L, Baveye, Y, Xiao, Z & Sjöberg, M 2018, The MediaEval 2018 Emotional Impact of Movies Task. in MediaEval 2018 - Multimedia Benchmark Workshop: Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia, Antipolis, France, 29-31 October 2018. CEUR Workshop Proceedings, vol. 2283, CEUR, Multimedia Benchmark Workshop, Sophia Antipolis, France, 29/10/2018.

The MediaEval 2018 Emotional Impact of Movies Task. / Dellandréa, Emmanuel; Huigsloot, Martijn; Chen, Liming et al.
MediaEval 2018 - Multimedia Benchmark Workshop: Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia, Antipolis, France, 29-31 October 2018. CEUR, 2018. (CEUR Workshop Proceedings; Vol. 2283).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - The MediaEval 2018 Emotional Impact of Movies Task

AU - Dellandréa, Emmanuel

AU - Huigsloot, Martijn

AU - Chen, Liming

AU - Baveye, Yoann

AU - Xiao, Zhongzhe

AU - Sjöberg, Mats

PY - 2018

Y1 - 2018

N2 - This paper provides a description of the MediaEval 2018 “Emotional Impact of Movies task". It continues to build on last year’s edition, integrating the feedback of previous participants. The goal is to create systems that automatically predict the emotional impact that video content will have on viewers, in terms of valence, arousal and fear. Here we provide a description of the use case, task challenges, dataset and ground truth, task run requirements and evaluation metrics.

AB - This paper provides a description of the MediaEval 2018 “Emotional Impact of Movies task". It continues to build on last year’s edition, integrating the feedback of previous participants. The goal is to create systems that automatically predict the emotional impact that video content will have on viewers, in terms of valence, arousal and fear. Here we provide a description of the use case, task challenges, dataset and ground truth, task run requirements and evaluation metrics.

UR - http://ceur-ws.org/Vol-2283/

M3 - Conference article in proceedings

T3 - CEUR Workshop Proceedings

BT - MediaEval 2018 - Multimedia Benchmark Workshop

PB - CEUR

T2 - Multimedia Benchmark Workshop

Y2 - 29 October 2018 through 31 October 2018

ER -

The MediaEval 2018 Emotional Impact of Movies Task

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