Towards large scale multimedia indexing: a case study on person discovery in broadcast news
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Document typeConference report
Defense date2017
PublisherAssociation for Computing Machinery (ACM)
Rights accessRestricted access - publisher's policy
European Commission's projectEUMSSI - EUMSSI- Event Understanding through Multimodal Social Stream Interpretation (EC-FP7-611057)
Abstract
The rapid growth of multimedia databases and the human interest
in their peers make indices representing the location and identity
of people in audio-visual documents essential for searching
archives. Person discovery in the absence of prior identity knowledge
requires accurate association of audio-visual 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.
CitationLe, N., Bredin, H., Sergent, G., India, M., López-Otero, P., Barras, C., Guinaudeau, C., Gravier, G., Barbosa da Fonseca, G., Lyon Freire, I., Patrocinio Jr., Z., Jamil F. Guimarães, S., Marti, G., Morros, J.R., Hernando, J., Docio-Fernández, L., García-Mateo, C., Meignier, S., Odobez, J. Towards large scale multimedia indexing: a case study on person discovery in broadcast news. A: International Workshop on Content-Based Multimedia Indexing. "Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, CBMI 2017, Florence, Italy, June 19-21, 2017". Firenze: Association for Computing Machinery (ACM), 2017, p. 1-6.
ISBN978-1-4503-5333-5
Publisher versionhttps://dl.acm.org/citation.cfm?doid=3095713.3095732
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