A Protocol for Cross-Validating Large Crowdsourced Data: The Case of the LIRIS-ACCEDE Affective Video Dataset

Yoann Baveye, Christel Chamaret, Emmanuel Dellandréa, Liming Chen. A Protocol for Cross-Validating Large Crowdsourced Data: The Case of the LIRIS-ACCEDE Affective Video Dataset. In Judith Redi, Mathias Lux, editors, Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia, CrowdMM '14, Orlando, Florida, USA, November 7, 2014. pages 3-8, ACM, 2014. [doi]

@inproceedings{BaveyeCDC14,
  title = {A Protocol for Cross-Validating Large Crowdsourced Data: The Case of the LIRIS-ACCEDE Affective Video Dataset},
  author = {Yoann Baveye and Christel Chamaret and Emmanuel Dellandréa and Liming Chen},
  year = {2014},
  doi = {10.1145/2660114.2660115},
  url = {http://doi.acm.org/10.1145/2660114.2660115},
  researchr = {https://researchr.org/publication/BaveyeCDC14},
  cites = {0},
  citedby = {0},
  pages = {3-8},
  booktitle = {Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia, CrowdMM '14, Orlando, Florida, USA, November 7, 2014},
  editor = {Judith Redi and Mathias Lux},
  publisher = {ACM},
  isbn = {978-1-4503-3128-9},
}