Logo du site
  • English
  • Français
  • Se connecter
Logo du site
  • English
  • Français
  • Se connecter
  1. Accueil
  2. Université de Neuchâtel
  3. Publications
  4. Efficient Compressed Domain Target Image Search and Retrieval
 
  • Details
Options
Vignette d'image

Efficient Compressed Domain Target Image Search and Retrieval

Auteur(s)
Bracamonte, Javier
Ansorge, Michael
Pellandini, Fausto
Farine, Pierre-André
Date de parution
2005
In
Lecture Notes in Computer Science (LNCS) (Image and Video Retrieval : 4th International Conference, CIVR 2005 Singapore, July 20-22, 2005 Proceedings), Springer, 2005/3568//154-163
Résumé
In this paper we introduce a low complexity and accurate technique for target image search and retrieval. This method, which operates directly in the compressed JPEG domain, addresses two of the CBIR challenges stated by The Benchathlon Network regarding the search of a specific image: finding out if an exact same image exists in a database, and identifying this occurrence even when the database image has been compressed with a different coding bit-rate. The proposed technique can be applied in feature-containing or featureless image collections, and thus it is also suitable to search for image copies that might exist on the Web for law enforcement of copyrighted material. The reported method exploits the fact that the phase of the Discrete Cosine Transform coefficients contains a significant amount of information of a transformed image. By processing only the phase part of these coefficients, a simple, fast, and accurate target image search and retrieval technique is achieved.
Identifiants
https://libra.unine.ch/handle/123456789/18373
_
10.1007/11526346_19
Type de publication
journal article
Dossier(s) à télécharger
 main article: Bracamonte_Javier_-_Efficient_Compressed_Domain_Target_Image_20061123.pdf (973.87 KB)
google-scholar
Présentation du portailGuide d'utilisationStratégie Open AccessDirective Open Access La recherche à l'UniNE Open Access ORCIDNouveautés

Service information scientifique & bibliothèques
Rue Emile-Argand 11
2000 Neuchâtel
contact.libra@unine.ch

Propulsé par DSpace, DSpace-CRIS & 4Science | v2022.02.00