Placing images with refined language models and similarity search with PCA-reduced VGG features - CEA - Commissariat à l’énergie atomique et aux énergies alternatives Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

Placing images with refined language models and similarity search with PCA-reduced VGG features

Résumé

We describe the participation of the CERTH/CEA-LIST team in the MediaEval 2016 Placing Task. We submitted five runs to the estimation-based sub-task: one based only on text by employing a Language Model-based approach with several refinements, one based on visual content, using geospatial clustering over the most visually similar images, and three based on a hybrid scheme exploiting both visual and textual cues from the multimedia items, trained on datasets of different size and origin. The best results were obtained by a hybrid approach trained with external training data and using two publicly available gazetteers.
Fichier non déposé

Dates et versions

cea-01843183 , version 1 (18-07-2018)

Identifiants

  • HAL Id : cea-01843183 , version 1

Citer

G. Kordopatis-Zilos, A. Popescu, S. Papadopoulos, Y. Kompatsiaris. Placing images with refined language models and similarity search with PCA-reduced VGG features. 2016 Multimedia Benchmark Workshop, MediaEval 2016, Oct 2016, Hilversum, Netherlands. ⟨cea-01843183⟩
25 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More