@inproceedings{poignant-etal-2016-camomile,
title = "The {CAMOMILE} Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents",
author = "Poignant, Johann and
Budnik, Mateusz and
Bredin, Herv{\'e} and
Barras, Claude and
Stefas, Mickael and
Bruneau, Pierrick and
Adda, Gilles and
Besacier, Laurent and
Ekenel, Hazim and
Francopoulo, Gil and
Hernando, Javier and
Mariani, Joseph and
Morros, Ramon and
Qu{\'e}not, Georges and
Rosset, Sophie and
Tamisier, Thomas",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1226",
pages = "1421--1425",
abstract = "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.",
}
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<abstract>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.</abstract>
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%0 Conference Proceedings
%T The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents
%A Poignant, Johann
%A Budnik, Mateusz
%A Bredin, Hervé
%A Barras, Claude
%A Stefas, Mickael
%A Bruneau, Pierrick
%A Adda, Gilles
%A Besacier, Laurent
%A Ekenel, Hazim
%A Francopoulo, Gil
%A Hernando, Javier
%A Mariani, Joseph
%A Morros, Ramon
%A Quénot, Georges
%A Rosset, Sophie
%A Tamisier, Thomas
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F poignant-etal-2016-camomile
%X 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.
%U https://aclanthology.org/L16-1226
%P 1421-1425
Markdown (Informal)
[The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents](https://aclanthology.org/L16-1226) (Poignant et al., LREC 2016)
ACL
- Johann Poignant, Mateusz Budnik, Hervé Bredin, Claude Barras, Mickael Stefas, Pierrick Bruneau, Gilles Adda, Laurent Besacier, Hazim Ekenel, Gil Francopoulo, Javier Hernando, Joseph Mariani, Ramon Morros, Georges Quénot, Sophie Rosset, and Thomas Tamisier. 2016. The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1421–1425, Portorož, Slovenia. European Language Resources Association (ELRA).