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The Community and the Crowd : Multimedia Benchmark Dataset Development

Eskevich, M.
Serdyukov, Pavel
Ordelman, Roeland
Jones, Gareth
Published in IEEE MultiMedia. 2012, vol. 19, no. 3, p. 15-23
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 InternetBenchmark testingIdentification technologyInformation retrievalMultimedia computingOutsourcingSpeech processingVideo signal processingInternet video datasetMediaEval multimedia benchmarkCommunity cooperationCrowdsourcingGenre taggingMultimedia benchmark dataset developmentRich speech retrieval tasksAlgorithm design and analysisCollaborationHuman factorsLarge-scale systemsMultimedia communicationStreaming mediaBenchmarkingGround truthLarge-scale multimedia dataMultimedia
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Research groups Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
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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 https://archive-ouverte.unige.ch/unige:47407

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Deposited on : 2015-03-03

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