  In this paper, we present an overview of a multimodal system to indexing and
searching video sequence by the content that has been developed within the
REGIMVid project. A large part of our system has been developed as part of
TRECVideo evaluation. The MAVSIR platform provides High-level feature
extraction from audio-visual content and concept/event-based video retrieval.
We illustrate the architecture of the system as well as provide an overview of
the descriptors supported to date. Then we demonstrate the usefulness of the
toolbox in the context of feature extraction, concepts/events learning and
retrieval in large collections of video surveillance dataset. The results are
encouraging as we are able to get good results on several event categories,
while for all events we have gained valuable insights and experience.
