Multimedia indexing and fast retrieval based on a vote system

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.

• Type: Conference
• Year: 2006
• Where: ICMCS
• Authors: Sylvie Philipp-Foliguet, Guillaume Logerot, Patrick Constant, Philippe Henri Gosselin, Christian Lahanier
• Keywords: Documents Containing Images, ICMCS 2006, Images, Texture Distributions