Multimodal Approach for Video Surveillance Indexing and Retrieval
Ali WALI, Adel M. ALIMI
Journal of Intelligent Computing, Vol. 1, No. 4, 2010.
DOI: 
Link: http://www.dline.info/jic/fulltext/v1n4/1.pdf
Abstract:
In this paper, we present an overview of a new approach to indexing and searching the video sequence by the content that has been developed within the REGIMVid project. The platform termed MAVSIR provides High-level feature extraction from audio-visual content and concept/event-based video retrieval. We describe the architecture of the system as well as provide an overview of the descriptors supported to date. We then demonstrate the usefulness of the toolbox in the context of feature extraction, concepts/events learning and retrieval in large collections of video surveillance dataset.