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The CAMOMILE collaborative annotation platform for multi-modal, multi-lingual and multi-media documents Poignant, Johann Budnik, Mateusz Bredin, Herve Barras, Claude Adda, Gilles Hernando Pericás, Francisco Javier Mariani, Joseph Morros Rubió, Josep Ramon Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic Automatic speech recognition Annotation tool Collaborative annotation Multimedia Active learning Person annotation. Reconeixement automàtic de la parla In this paper, we describe the organization and the implementation of the CAMOMILE collaborative annotation framework for multimodal, multimedia, multilingual (3M) data. Given the versatile nature of the analysis which can be performed on 3M data, the structure of the server was kept intentionally simple in order to preserve its genericity, relying on standard Web technologies. Layers of annotations, defined as data associated to a media fragment from the corpus, are stored in a database and can be managed through standard interfaces with authentication. Interfaces tailored specifically to the needed task can then be developed in an agile way, relying on simple but reliable services for the management of the centralized annotations. We then present our implementation of an active learning scenario for person annotation in video, relying on the CAMOMILE server; during a dry run experiment, the manual annotation of 716 speech segments was thus propagated to 3504 labeled tracks. The code of the CAMOMILE framework is distributed in open source. Peer Reviewed Postprint (author's final draft) 2016 Conference lecture Poignant, J., Budnik, M., Bredin, H., Barras, C., Adda, G., Hernando, J., Mariani, J., Morros, J. The CAMOMILE collaborative annotation platform for multi-modal, multi-lingual and multi-media documents. A: Language Resources and Evaluation Conference. "LREC 2016: Tenth International Conference on Language Resources and Evaluation". Portorož: European Language Resources Association, 2016, p. 1421-1425. 978-2-9517408-9-1 https://hdl.handle.net/2117/101916 eng http://www.lrec-conf.org/proceedings/lrec2016/index.html Open Access Cretaive Commons License (by-nc-nd) 5 p. application/pdf European Language Resources Association