  The amount of audio-visual information has increased dramatically with the
advent of High Speed Internet. Furthermore, technological advances in recent
years in the field of information technology, have simplified the use of video
data in various fields by the general public. This made it possible to store
large collections of video documents into computer systems. To enable efficient
use of these collections, it is necessary to develop tools to facilitate access
to these documents and handling them. In this paper we propose a method for
indexing and retrieval of video sequences in a video database of large
dimension, based on a weighting technique to calculate the degree of membership
of a concept in a video also a structuring of the data of the audio-visual
(context / concept / video) and a relevance feedback mechanism.
