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ViTS: Video Tagging System from Massive Web Multimedia Collections

Autor
Fernàndez, D.; Varas, D.; Espadaler, J.; Masuda, I.; Ferreira, J.; Woodward, A.; Rodríguez, D.; Giro, X.; Riveiro, J. C.; Bou, E.; Fernandez, D.; Rodriguez, D.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
5th Workshop on Web-scale Vision and Social Media
Any de l'edició
2017
Data de presentació
2017-10-23
Llibre d'actes
Proceedings of the 5th Workshop on Web-scale Vision and Social Media (VSM)
Pàgina inicial
337
Pàgina final
346
Editor
IEEE Press
DOI
https://doi.org/10.1109/ICCVW.2017.48 Obrir en finestra nova
Projecte finançador
Procesado de señales multimodales y aprendizaje automático en grafos.
Repositori
http://hdl.handle.net/2117/110668 Obrir en finestra nova
URL
http://openaccess.thecvf.com/ICCV2017_workshops/ICCV2017_W5.py Obrir en finestra nova
Resum
The popularization of multimedia content on the Web has arised the need to automatically understand, index and retrieve it. In this paper we present ViTS, an automatic Video Tagging System which learns from videos, their web context and comments shared on social networks. ViTS analyses massive multimedia collections by Internet crawling, and maintains a knowledge base that updates in real time with no need of human supervision. As a result, each video is indexed with a rich set of labels and lin...
Citació
Fernàndez, D., Varas, D., Espadaler, J., Masuda, I., Ferreira, J., Woodward, A., Rodríguez, D., Giro, X., Riveiro, J. C., Bou, E. ViTS: Video tagging system from massive web multimedia collections. A: Workshop on Web-Scale Vision and Social Media. "Proceedings of the 5th Workshop on Web-scale Vision and Social Media (VSM)". Venice: IEEE Press, 2017, p. 337-346.
Paraules clau
Computer vision, Human supervision, Industrial product, Knowledge based systems, Multimedia collections, Multimedia contents, Related content, Semantic annotations, Semantics, Tagging systems, Thesauri, Video summaries
Grup de recerca
AHA - Arquitectures Hardware Avançades
BBT - Biomaterials, Biomecànica i Enginyeria de Teixits
CRnE - Centre de Recerca en Ciència i Enginyeria Multiescala de Barcelona
GPI - Grup de Processament d'Imatge i Vídeo
IDEAI-UPC Intelligent Data Science and Artificial Intelligence

Participants

  • Fernàndez, Dèlia  (autor ponent)
  • Varas, David  (autor ponent)
  • Espadaler, Joan  (autor ponent)
  • Masuda, Issey  (autor ponent)
  • Ferreira, Jordi  (autor ponent)
  • Woodward, Alejandro  (autor ponent)
  • Rodríguez, David  (autor ponent)
  • Giro Nieto, Xavier  (autor ponent)
  • Riveiro, Juan Carlos  (autor ponent)
  • Bou Balust, Elisenda  (autor ponent)
  • Fernandez Martinez, Daniel  (autor ponent)
  • Rodriguez Rius, Daniel  (autor ponent)