Title :

Toward a higher-level visual representation for content-based image retrieval

Author(s) :

Elsayad, Ismail [Auteur]
FOX MIIRE [LIFL]
Martinet, Jean [Auteur]
FOX MIIRE [LIFL]
Urruty, Thierry [Auteur]
SIC [XLIM-SIC]
Djeraba, Chaabane [Auteur]
FOX MIIRE [LIFL]

Journal title :

Multimedia Tools and Applications

Pages :

455-482

Publisher :

Springer Verlag

Publication date :

2012

ISSN :

1380-7501

HAL domain(s) :

Informatique [cs]/Recherche d'information [cs.IR]
Informatique [cs]/Traitement des images [eess.IV]

English abstract : [en]

Having effective methods to access the desired images is essential nowadays with the availability of a huge amount of digital images. The proposed approach is based on an analogy between content-based image retrieval and ...
Show more >Having effective methods to access the desired images is essential nowadays with the availability of a huge amount of digital images. The proposed approach is based on an analogy between content-based image retrieval and text retrieval. The aim of the approach is to build a meaningful mid-level representation of images to be used later on for matching between a query image and other images in the desired database. The approach is based firstly on constructing different visual words using local patch extraction and fusion of descriptors. Secondly, we introduce a new method using multilayer pLSA to eliminate the noisiest words generated by the vocabulary building process. Thirdly, a new spatial weighting scheme is introduced that consists of weighting visual words according to the probability of each visual word to belong to each of the n Gaussian. Finally, we construct visual phrases from groups of visual words that are involved in strong association rules. Experimental results show that our approach outperforms the results of traditional image retrieval techniques.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL