Multimedia Indexing and Fast Retrieval Based on a Vote System

Sylvie Philipp-Foliguet (1) , Guillaume Logerot (2) , Patrick Constant (2) , Philippe-Henri Gosselin (3) , Christian Lahanier (4)

1 ETIS - UMR 8051 - Equipes Traitement de l'Information et Systèmes
2 Pertimm
3 MIDI - Multimedia Indexation and Data Integration
4 C2RMF - Centre de recherche et de restauration des musées de France

We present a new system, called Retimm, for searching databases made of documents containing images and text. Images are indexed by colour and texture distributions.. Colour and texture classes are obtained by a quantization adapted to the whole database. Signatures are ranked m times, once for each dimension, but values are not stored. The search engine works as a vote system : the score for each document is the total of the votes of all coordinates, these last votes depending on a k-nn search on each dimension. Retimm is able to retrieve very quickly images from large databases from any request composed of one or several images and/or one or several words. The system is interactive, since the query can be modified at any moment by adding or removing images or words.

Domains: Machine Learning [stat.ML]

Sylvie Philipp-Foliguet, Guillaume Logerot, Patrick Constant, Philippe-Henri Gosselin, Christian Lahanier. Multimedia Indexing and Fast Retrieval Based on a Vote System. IEEE International Conference on Multimedia and Expo, Jul 2006, Canada. pp.1. ⟨hal-00520309⟩