MediaEval 2016 predicting media interestingness task

Claire-Hélène Demarty; Mats Sjöberg; Bogdan Ionescu; Thanh-Toan Do; Hanli Wang; Ngoc Q.K. Duong; Frédéric Lefebvre

MediaEval 2016 predicting media interestingness task

Claire-Hélène Demarty, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, Hanli Wang, Ngoc Q.K. Duong, Frédéric Lefebvre

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

Abstract

This paper provides an overview of the Predicting Media Interestingness task that is organized as part of the Media-Eval 2016 Benchmarking Initiative for Multimedia Evaluation. The task, which is running for the first year, expects participants to create systems that automatically select images and video segments that are considered to be the most interesting for a common viewer. In this paper, we present the task use case and challenges, the proposed data set and ground truth, the required participant runs and the evaluation metrics.

Original language	English
Title of host publication	2016 Multimedia Benchmark Workshop, MediaEval 2016
Editors	Guillaume Gravier, Claire-Hélène Demarty, Hervé Bredin, Hervé Bredin, Christina Boididou, Emmanuel Dellandrea, Jaeyong Choi, Michael Riegler, Richard Sutcliffe, Igor Szoke, Gareth J.F. Jones, Martha Larson
Place of Publication	Aachen Germany
Publisher	CEUR-WS
Number of pages	3
Publication status	Published - 2016
Externally published	Yes
Event	Multimedia Benchmark Workshop 2016 - Hilversum, Netherlands Duration: 20 Oct 2016 → 21 Oct 2016 http://ceur-ws.org/Vol-1739/ (Proceedings)

Publication series

Name	CEUR Workshop Proceedings
Publisher	CEUR-WS.org
Volume	1739
ISSN (Print)	1613-0073

Conference

Conference	Multimedia Benchmark Workshop 2016
Abbreviated title	MediaEval 2016
Country	Netherlands
City	Hilversum
Period	20/10/16 → 21/10/16
Internet address	http://ceur-ws.org/Vol-1739/ (Proceedings)

Access to Document

330621648-oaFinal published version, 152 KB

Cite this

Demarty, C-H., Sjöberg, M., Ionescu, B., Do, T-T., Wang, H., Duong, N. Q. K., & Lefebvre, F. (2016). MediaEval 2016 predicting media interestingness task. In G. Gravier, C-H. Demarty, H. Bredin, H. Bredin, C. Boididou, E. Dellandrea, J. Choi, M. Riegler, R. Sutcliffe, I. Szoke, G. J.F. Jones, & M. Larson (Eds.), 2016 Multimedia Benchmark Workshop, MediaEval 2016 (CEUR Workshop Proceedings; Vol. 1739). CEUR-WS. http://ceur-ws.org/Vol-1739/MediaEval_2016_paper_1.pdf

Demarty, Claire-Hélène ; Sjöberg, Mats ; Ionescu, Bogdan ; Do, Thanh-Toan ; Wang, Hanli ; Duong, Ngoc Q.K. ; Lefebvre, Frédéric. / MediaEval 2016 predicting media interestingness task. 2016 Multimedia Benchmark Workshop, MediaEval 2016. editor / Guillaume Gravier ; Claire-Hélène Demarty ; Hervé Bredin ; Hervé Bredin ; Christina Boididou ; Emmanuel Dellandrea ; Jaeyong Choi ; Michael Riegler ; Richard Sutcliffe ; Igor Szoke ; Gareth J.F. Jones ; Martha Larson. Aachen Germany : CEUR-WS, 2016. (CEUR Workshop Proceedings).

@inproceedings{248697cfa5ab4ff3b713af6a3b31e85e,

title = "MediaEval 2016 predicting media interestingness task",

abstract = "This paper provides an overview of the Predicting Media Interestingness task that is organized as part of the Media-Eval 2016 Benchmarking Initiative for Multimedia Evaluation. The task, which is running for the first year, expects participants to create systems that automatically select images and video segments that are considered to be the most interesting for a common viewer. In this paper, we present the task use case and challenges, the proposed data set and ground truth, the required participant runs and the evaluation metrics.",

author = "Claire-H{\'e}l{\`e}ne Demarty and Mats Sj{\"o}berg and Bogdan Ionescu and Thanh-Toan Do and Hanli Wang and Duong, {Ngoc Q.K.} and Fr{\'e}d{\'e}ric Lefebvre",

year = "2016",

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS",

editor = "Gravier, {Guillaume } and Demarty, {Claire-H{\'e}l{\`e}ne } and Bredin, {Herv{\'e} } and Bredin, {Herv{\'e} } and Boididou, {Christina } and Dellandrea, {Emmanuel } and Choi, {Jaeyong } and Riegler, {Michael } and Sutcliffe, {Richard } and Szoke, {Igor } and { J.F. Jones}, {Gareth } and Larson, {Martha }",

booktitle = "2016 Multimedia Benchmark Workshop, MediaEval 2016",

note = "Multimedia Benchmark Workshop 2016, MediaEval 2016 ; Conference date: 20-10-2016 Through 21-10-2016",

url = "http://ceur-ws.org/Vol-1739/",

}

Demarty, C-H, Sjöberg, M, Ionescu, B, Do, T-T, Wang, H, Duong, NQK & Lefebvre, F 2016, MediaEval 2016 predicting media interestingness task. in G Gravier, C-H Demarty, H Bredin, H Bredin, C Boididou, E Dellandrea, J Choi, M Riegler, R Sutcliffe, I Szoke, G J.F. Jones & M Larson (eds), 2016 Multimedia Benchmark Workshop, MediaEval 2016. CEUR Workshop Proceedings, vol. 1739, CEUR-WS, Aachen Germany, Multimedia Benchmark Workshop 2016, Hilversum, Netherlands, 20/10/16. <http://ceur-ws.org/Vol-1739/MediaEval_2016_paper_1.pdf>

MediaEval 2016 predicting media interestingness task. / Demarty, Claire-Hélène; Sjöberg, Mats; Ionescu, Bogdan; Do, Thanh-Toan; Wang, Hanli; Duong, Ngoc Q.K.; Lefebvre, Frédéric.

2016 Multimedia Benchmark Workshop, MediaEval 2016. ed. / Guillaume Gravier; Claire-Hélène Demarty; Hervé Bredin; Hervé Bredin; Christina Boididou; Emmanuel Dellandrea; Jaeyong Choi; Michael Riegler; Richard Sutcliffe; Igor Szoke; Gareth J.F. Jones; Martha Larson. Aachen Germany : CEUR-WS, 2016. (CEUR Workshop Proceedings; Vol. 1739).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

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AU - Duong, Ngoc Q.K.

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AB - This paper provides an overview of the Predicting Media Interestingness task that is organized as part of the Media-Eval 2016 Benchmarking Initiative for Multimedia Evaluation. The task, which is running for the first year, expects participants to create systems that automatically select images and video segments that are considered to be the most interesting for a common viewer. In this paper, we present the task use case and challenges, the proposed data set and ground truth, the required participant runs and the evaluation metrics.

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AN - SCOPUS:85006324201

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BT - 2016 Multimedia Benchmark Workshop, MediaEval 2016

A2 - Gravier, Guillaume

A2 - Demarty, Claire-Hélène

A2 - Bredin, Hervé

A2 - Boididou, Christina

A2 - Dellandrea, Emmanuel

A2 - Choi, Jaeyong

A2 - Riegler, Michael

A2 - Sutcliffe, Richard

A2 - Szoke, Igor

A2 - J.F. Jones, Gareth

A2 - Larson, Martha

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Demarty C-H, Sjöberg M, Ionescu B, Do T-T, Wang H, Duong NQK et al. MediaEval 2016 predicting media interestingness task. In Gravier G, Demarty C-H, Bredin H, Bredin H, Boididou C, Dellandrea E, Choi J, Riegler M, Sutcliffe R, Szoke I, J.F. Jones G, Larson M, editors, 2016 Multimedia Benchmark Workshop, MediaEval 2016. Aachen Germany: CEUR-WS. 2016. (CEUR Workshop Proceedings).