Impact of Visual Information on Text and Content Based Image Retrieval - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

Impact of Visual Information on Text and Content Based Image Retrieval

Christophe Moulin
  • Fonction : Auteur
  • PersonId : 854129
Christine Largeron
Mathias Géry
  • Fonction : Auteur
  • PersonId : 843869

Résumé

Nowadays, multimedia documents composed of text and images are increasingly used, thanks to the Internet and the increasing capacity of data storage. It is more and more important to be able to retrieve needles in this huge haystack. In this paper, we present a multimedia document model which combines textual and visual information. Using a bag-of-words approach, it represents a textual and visual document using a vector for each modality. Given a multimedia query, our model combines scores obtained for each modality and returns a list of relevant retrieved documents. This paper aims at studying the influence of the weight given to the visual information relative to the textual information. Experiments on the multimedia ImageCLEF collection show that results can be improved by learning this weight parameter.
Fichier principal
Vignette du fichier
moulin_largeron_gery.pdf (190.83 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00526626 , version 1 (15-10-2010)

Identifiants

Citer

Christophe Moulin, Christine Largeron, Mathias Géry. Impact of Visual Information on Text and Content Based Image Retrieval. Structural, Syntactic, and Statistical Pattern Recognition, Aug 2010, Cesme, Izmir, Turkey. pp.159-169, ⟨10.1007/978-3-642-14980-1_15⟩. ⟨hal-00526626⟩
85 Consultations
142 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More