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The Benchmark as a Research Catalyst : Charting the Progress of Geo-prediction for Social Multimedia. / Larson, Martha; Kelm, Pascal; Rae, Adam; Hauff, Claudia; Thomee, Bart; Trevisiol, Michele; Choi, Jaeyoung; van Laere, Olivier; Schockaert, Steven; Serdyukov, Pavel; Murdock, Vanessa; Friedland, Gerald.

Multimodal Location Estimation of Videos and Images. ed. / Jaeyoung Choi; Gerald Friedland. Cham : Springer, 2015. p. 5-40.

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientific

Harvard

Larson, M, Kelm, P, Rae, A, Hauff, C, Thomee, B, Trevisiol, M, Choi, J, van Laere, O, Schockaert, S, Serdyukov, P, Murdock, V & Friedland, G 2015, The Benchmark as a Research Catalyst: Charting the Progress of Geo-prediction for Social Multimedia. in J Choi & G Friedland (eds), Multimodal Location Estimation of Videos and Images. Springer, Cham, pp. 5-40. https://doi.org/10.1007/978-3-319-09861-6_2

APA

Larson, M., Kelm, P., Rae, A., Hauff, C., Thomee, B., Trevisiol, M., ... Friedland, G. (2015). The Benchmark as a Research Catalyst: Charting the Progress of Geo-prediction for Social Multimedia. In J. Choi, & G. Friedland (Eds.), Multimodal Location Estimation of Videos and Images (pp. 5-40). Cham: Springer. https://doi.org/10.1007/978-3-319-09861-6_2

Vancouver

Larson M, Kelm P, Rae A, Hauff C, Thomee B, Trevisiol M et al. The Benchmark as a Research Catalyst: Charting the Progress of Geo-prediction for Social Multimedia. In Choi J, Friedland G, editors, Multimodal Location Estimation of Videos and Images. Cham: Springer. 2015. p. 5-40 https://doi.org/10.1007/978-3-319-09861-6_2

Author

Larson, Martha ; Kelm, Pascal ; Rae, Adam ; Hauff, Claudia ; Thomee, Bart ; Trevisiol, Michele ; Choi, Jaeyoung ; van Laere, Olivier ; Schockaert, Steven ; Serdyukov, Pavel ; Murdock, Vanessa ; Friedland, Gerald. / The Benchmark as a Research Catalyst : Charting the Progress of Geo-prediction for Social Multimedia. Multimodal Location Estimation of Videos and Images. editor / Jaeyoung Choi ; Gerald Friedland. Cham : Springer, 2015. pp. 5-40

BibTeX

@inbook{16ee86218e034bb1a508a7e53d21517e,
title = "The Benchmark as a Research Catalyst: Charting the Progress of Geo-prediction for Social Multimedia",
abstract = "Benchmarks have the power to bring research communities together to focus on specific research challenges. They drive research forward by making it easier to systematically compare and contrast new solutions, and evaluate their performance with respect to the existing state of the art. In this chapter, we present a retrospective on the Placing Task, a yearly challenge offered by the MediaEval Multimedia Benchmark. The Placing Task, launched in 2010, is a benchmarking task that requires participants to develop algorithms that automatically predict the geolocation of social multimedia (videos and images). This chapter covers the editions of the Placing Task offered in 2010–2013, and also presents an outlook onto 2014. We present the formulation of the task and the task dataset for each year, tracing the design decisions that were made by the organizers, and how each year built on the previous year. Finally, we provide a summary of future directions and challenges for multimodal geolocation, and concluding remarks on how benchmarking has catalyzed research progress in the research area of geolocation prediction for social multimedia.",
keywords = "Signal, Image and Speech Processing , Communications Engineering, Networks, Multimedia Information Systems",
author = "Martha Larson and Pascal Kelm and Adam Rae and Claudia Hauff and Bart Thomee and Michele Trevisiol and Jaeyoung Choi and {van Laere}, Olivier and Steven Schockaert and Pavel Serdyukov and Vanessa Murdock and Gerald Friedland",
year = "2015",
doi = "10.1007/978-3-319-09861-6_2",
language = "English",
isbn = "978-3-319-09860-9",
pages = "5--40",
editor = "Jaeyoung Choi and Gerald Friedland",
booktitle = "Multimodal Location Estimation of Videos and Images",
publisher = "Springer",

}

RIS

TY - CHAP

T1 - The Benchmark as a Research Catalyst

T2 - Charting the Progress of Geo-prediction for Social Multimedia

AU - Larson, Martha

AU - Kelm, Pascal

AU - Rae, Adam

AU - Hauff, Claudia

AU - Thomee, Bart

AU - Trevisiol, Michele

AU - Choi, Jaeyoung

AU - van Laere, Olivier

AU - Schockaert, Steven

AU - Serdyukov, Pavel

AU - Murdock, Vanessa

AU - Friedland, Gerald

PY - 2015

Y1 - 2015

N2 - Benchmarks have the power to bring research communities together to focus on specific research challenges. They drive research forward by making it easier to systematically compare and contrast new solutions, and evaluate their performance with respect to the existing state of the art. In this chapter, we present a retrospective on the Placing Task, a yearly challenge offered by the MediaEval Multimedia Benchmark. The Placing Task, launched in 2010, is a benchmarking task that requires participants to develop algorithms that automatically predict the geolocation of social multimedia (videos and images). This chapter covers the editions of the Placing Task offered in 2010–2013, and also presents an outlook onto 2014. We present the formulation of the task and the task dataset for each year, tracing the design decisions that were made by the organizers, and how each year built on the previous year. Finally, we provide a summary of future directions and challenges for multimodal geolocation, and concluding remarks on how benchmarking has catalyzed research progress in the research area of geolocation prediction for social multimedia.

AB - Benchmarks have the power to bring research communities together to focus on specific research challenges. They drive research forward by making it easier to systematically compare and contrast new solutions, and evaluate their performance with respect to the existing state of the art. In this chapter, we present a retrospective on the Placing Task, a yearly challenge offered by the MediaEval Multimedia Benchmark. The Placing Task, launched in 2010, is a benchmarking task that requires participants to develop algorithms that automatically predict the geolocation of social multimedia (videos and images). This chapter covers the editions of the Placing Task offered in 2010–2013, and also presents an outlook onto 2014. We present the formulation of the task and the task dataset for each year, tracing the design decisions that were made by the organizers, and how each year built on the previous year. Finally, we provide a summary of future directions and challenges for multimodal geolocation, and concluding remarks on how benchmarking has catalyzed research progress in the research area of geolocation prediction for social multimedia.

KW - Signal, Image and Speech Processing

KW - Communications Engineering, Networks

KW - Multimedia Information Systems

UR - http://resolver.tudelft.nl/uuid://16ee8621-8e03-4bb1-a508-a7e53d21517e

U2 - 10.1007/978-3-319-09861-6_2

DO - 10.1007/978-3-319-09861-6_2

M3 - Chapter

SN - 978-3-319-09860-9

SP - 5

EP - 40

BT - Multimodal Location Estimation of Videos and Images

A2 - Choi, Jaeyoung

A2 - Friedland, Gerald

PB - Springer

CY - Cham

ER -

ID: 2310794