The MediaEval 2017 Emotional Impact of Movies Task

Emmanuel Dellandra; Martijn Huigsloot; Liming Chen; Yoann Baveye; Mats Sjoberg

The MediaEval 2017 Emotional Impact of Movies Task

Emmanuel Dellandra, Martijn Huigsloot, Liming Chen, Yoann Baveye, Mats Sjoberg

Not published at Aalto University

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

4 Citations (Scopus)

Abstract

This paper provides a description of the MediaEval 2017 Emotional Impact of Movies task. It continues to build on previous years editions. In this year's task, participants are expected 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	Multimedia Benchmark Workshop
Subtitle of host publication	Working Notes Proceedings of the MediaEval 2017 Workshop, co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 13-15, 2017
Publisher	CEUR
Number of pages	3
Publication status	Published - 2017
MoE publication type	A4 Conference publication
Event	Multimedia Benchmark Workshop - Dublin, Ireland Duration: 13 Sept 2017 → 15 Sept 2017

Publication series

Name	CEUR Workshop Proceedings
Publisher	Rheinisch-Westfaelische Technische Hochschule Aachen
Volume	1984
ISSN (Electronic)	1613-0073

Workshop

Workshop	Multimedia Benchmark Workshop
Country/Territory	Ireland
City	Dublin
Period	13/09/2017 → 15/09/2017

Access to Document

http://ceur-ws.org/Vol-1984/

Cite this

Dellandra, E., Huigsloot, M., Chen, L., Baveye, Y., & Sjoberg, M. (2017). The MediaEval 2017 Emotional Impact of Movies Task. In Multimedia Benchmark Workshop: Working Notes Proceedings of the MediaEval 2017 Workshop, co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 13-15, 2017 (CEUR Workshop Proceedings; Vol. 1984). CEUR. http://ceur-ws.org/Vol-1984/

@inproceedings{96d2195407a24ccf9a9199ad79053295,

title = "The MediaEval 2017 Emotional Impact of Movies Task",

abstract = "This paper provides a description of the MediaEval 2017 Emotional Impact of Movies task. It continues to build on previous years editions. In this year's task, participants are expected 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 Dellandra and Martijn Huigsloot and Liming Chen and Yoann Baveye and Mats Sjoberg",

year = "2017",

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR",

booktitle = "Multimedia Benchmark Workshop",

address = "Germany",

note = "Multimedia Benchmark Workshop ; Conference date: 13-09-2017 Through 15-09-2017",

}

Dellandra, E, Huigsloot, M, Chen, L, Baveye, Y & Sjoberg, M 2017, The MediaEval 2017 Emotional Impact of Movies Task. in Multimedia Benchmark Workshop: Working Notes Proceedings of the MediaEval 2017 Workshop, co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 13-15, 2017. CEUR Workshop Proceedings, vol. 1984, CEUR, Multimedia Benchmark Workshop, Dublin, Ireland, 13/09/2017. <http://ceur-ws.org/Vol-1984/>

The MediaEval 2017 Emotional Impact of Movies Task. / Dellandra, Emmanuel; Huigsloot, Martijn; Chen, Liming et al.
Multimedia Benchmark Workshop: Working Notes Proceedings of the MediaEval 2017 Workshop, co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 13-15, 2017. CEUR, 2017. (CEUR Workshop Proceedings; Vol. 1984).

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

TY - GEN

T1 - The MediaEval 2017 Emotional Impact of Movies Task

AU - Dellandra, Emmanuel

AU - Huigsloot, Martijn

AU - Chen, Liming

AU - Baveye, Yoann

AU - Sjoberg, Mats

PY - 2017

Y1 - 2017

N2 - This paper provides a description of the MediaEval 2017 Emotional Impact of Movies task. It continues to build on previous years editions. In this year's task, participants are expected 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 2017 Emotional Impact of Movies task. It continues to build on previous years editions. In this year's task, participants are expected 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.

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M3 - Conference article in proceedings

AN - SCOPUS:85034974632

T3 - CEUR Workshop Proceedings

BT - Multimedia Benchmark Workshop

PB - CEUR

T2 - Multimedia Benchmark Workshop

Y2 - 13 September 2017 through 15 September 2017

ER -

The MediaEval 2017 Emotional Impact of Movies Task

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