  This paper presents an integrated multi-agents architecture for indexing and
retrieving video information.The focus of our work is to elaborate an
extensible approach that gathers a priori almost of the mandatory tools which
palliate to the major intertwining problems raised in the whole process of the
video lifecycle (classification, indexing and retrieval). In fact, effective
and optimal retrieval video information needs a collaborative approach based on
multimodal aspects. Clearly, it must to take into account the distributed
aspect of the data sources, the adaptation of the contents, semantic
annotation, personalized request and active feedback which constitute the
backbone of a vigorous system which improve its performances in a smart way
