User-Centric Retrieval of Visual Surveillance Content

Abstract—An interactive retrieval method adapted to surveillance video is presented. The approach is formulated as an iterative SVM classification and builds upon the two major specificities of the surveillance context, namely the multiple instance nature of the data and the reduced number of training examples the user can provide at each round. The later issue is solved thanks to a new adaptive active learning strategy as well as an intuitive graphical user interface. The system has been validated on both synthetic and real datasets. It will be demonstrated during the conference.

• Type: Conference
• Year: 2007
• Where: SAMT
• Authors: Jérôme Meessen, Xavier Desurmont, Christophe De Vleeschouwer, Jean-François Delaigle
• Keywords: Interactive Retrieval Method, Iterative Svm Classification, Multiple Instance Nature, SAMT 2007