Combining generic and specific information for cross-modal retrieval

T.Q.N. Tran; H. Le Borgne; M. Crucianu

Combining generic and specific information for cross-modal retrieval

T.Q.N. Tran ¹ H. Le Borgne ¹ M. Crucianu ²

1 DIASI - Département Intelligence Ambiante et Systèmes Interactifs

2 CEDRIC - Centre d'études et de recherche en informatique et communications

Abstract : Cross-modal retrieval increasingly relies on joint statistical models built from large amounts of data represented according to several modalities. However, some information that is poorly represented by these models can be very significant for a retrieval task. We show that, by appropriately identifying and taking such information into account, the results of cross-modal retrieval can be strongly improved. We apply our model to three benchmarks for the text illustration task and find that the more data has misrepresented information, the more our model is comparatively effective.

Document type :

Conference papers

Domain :

Computer Science [cs]

Complete list of metadatas

https://hal-cea.archives-ouvertes.fr/cea-01813724
Contributor : Léna Le Roy <>
Submitted on : Tuesday, June 12, 2018 - 3:30:26 PM
Last modification on : Saturday, February 9, 2019 - 1:24:35 AM

Combining generic and specific information for cross-modal retrieval

Identifiers

Collections

Citation

Export

Metrics

79

Contact

Combining generic and specific information for cross-modal retrieval

Identifiers

Collections

Citation

Export

Share

Metrics

79

Contact