Towards large scale multimedia indexing: A case study on person discovery in broadcast news

Nam Le 1 Hervé Bredin 2 Gabriel Sargent 3 Miquel India 4 Paula Lopez-Otero 5 Claude Barras 2 Camille Guinaudeau 2 Guillaume Gravier 3 Gabriel Barbosa da Fonseca 6 Izabela Lyon Freire 6 Zenilton Patrocínio Jr 6 Silvio Jamil F. Guimarães 6 Gerard Martí 4 Josep Ramon Morros 4 Javier Hernando 4 Laura Docio-Fernandez 5 Carmen Garcia-Mateo 5 Sylvain Meignier 7 Jean-Marc Odobez 1
1 IDIAP Research Institute
2 LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
3 LinkMedia - Creating and exploiting explicit links between multimedia fragments
Inria Rennes – Bretagne Atlantique , IRISA_D6 - MEDIA ET INTERACTIONS
4 UPC - Technical University of Catalonia
5 TSC - Departamento de Teoría de la Señal y Comunicaciones (Universidad de Vigo )
6 PUC Minas
7 LIUM - Laboratoire d'Informatique de l'Université du Mans
Abstract : The rapid growth of multimedia databases and the human interest in their peers make indices representing the location and identity of people in audiovisual documents essential for searching archives. Person discovery in the absence of prior identity knowledge requires accurate association of audiovisual cues and detected names. To this end, we present 3 different strategies to approach this problem: clustering-based naming, verification-based naming, and graph-based naming. Each of these strategies utilizes different recent advances in unsupervised face / speech representation, verification, and optimization. To have a better understanding of the approaches, this paper also provides a quantitative and qualitative comparative study of these approaches using the associated corpus of the Person Discovery challenge at MediaEval 2016. From the results of our experiments, we can observe the pros and cons of each approach, thus paving the way for future promising research directions.
Keywords : person discovery Multimedia Multimodal analysis
Type de document :
Communication dans un congrès
Content-Based Multimedia Indexing CBMI, Jun 2017, Firenze, Italy. 2017, Proceedings of the 15th international workshop on Content-Based Multimedia Indexing. 〈10.1145/3095713.3095732〉
Liste complète des métadonnées

Littérature citée [33 références]  Voir  Masquer  Télécharger
https://hal.archives-ouvertes.fr/hal-01551690
Contributeur : Gabriel Sargent <>
Soumis le : vendredi 30 juin 2017 - 14:28:16
Dernière modification le : jeudi 12 juillet 2018 - 13:58:03
Document(s) archivé(s) le : lundi 22 janvier 2018 - 20:15:49

Fichier

Le_et_al_CBMI.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

UNIV-LEMANS | LIUM | IRISA | INRIA2017 | INRIA | UNIV-PARIS-SACLAY | UR1-UFR-ISTIC | LIMSI | UNIV-RENNES

Citation

Nam Le, Hervé Bredin, Gabriel Sargent, Miquel India, Paula Lopez-Otero, et al.. Towards large scale multimedia indexing: A case study on person discovery in broadcast news. Content-Based Multimedia Indexing CBMI, Jun 2017, Firenze, Italy. 2017, Proceedings of the 15th international workshop on Content-Based Multimedia Indexing. 〈10.1145/3095713.3095732〉. 〈hal-01551690〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

1735

Téléchargements de fichiers

107

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD