The Community and the Crowd : Multimedia Benchmark Dataset Development

Larson, Martha; Soleymani, Mohammad; Eskevich, M.; Serdyukov, Pavel; Ordelman, Roeland; Jones, Gareth

doi:10.1109/MMUL.2012.27

Scientific article

English

The Community and the Crowd : Multimedia Benchmark Dataset Development

ContributorsLarson, Martha; Soleymani, Mohammad; Eskevich, M.; Serdyukov, Pavel; Ordelman, Roeland; Jones, Gareth

Published inIEEE multimedia, vol. 19, no. 3, p. 15-23

Publication date2012

Abstract

The MediaEval Multimedia Benchmark leveraged community cooperation and crowdsourcing to develop a large Internet video dataset for its Genre Tagging and Rich Speech Retrieval tasks.

Keywords

Internet
Benchmark testing
Identification technology
Information retrieval
Multimedia computing
Outsourcing
Speech processing
Video signal processing
Internet video dataset
MediaEval multimedia benchmark
Community cooperation
Crowdsourcing
Genre tagging
Multimedia benchmark dataset development
Rich speech retrieval tasks
Algorithm design and analysis
Collaboration
Human factors
Large-scale systems
Multimedia communication
Streaming media
Benchmarking
Ground truth
Large-scale multimedia data
Multimedia

Affiliation entities

Research groups

Citation (ISO format)

LARSON, Martha et al. The Community and the Crowd : Multimedia Benchmark Dataset Development. In: IEEE multimedia, 2012, vol. 19, n° 3, p. 15–23. doi: 10.1109/MMUL.2012.27

Article (Published version)

Identifiers

PID : unige:47407
DOI : 10.1109/MMUL.2012.27

Commercial URLhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6203495

Journal ISSN1070-986X

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Update time14/03/2023 22:56:38

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The Community and the Crowd : Multimedia Benchmark Dataset Development

The MediaEval Multimedia Benchmark leveraged community cooperation and crowdsourcing to develop a large Internet video dataset for its Genre Tagging and Rich Speech Retrieval tasks.

Technical informations