Universitat Politècnica de Catalunya
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
2016
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)
Conference lecture
English
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
European Language Resources Association
http://www.lrec-conf.org/proceedings/lrec2016/index.html
Open Access
Cretaive Commons License (by-nc-nd)
E-prints [73012]
