Abstract / truncated to 115 words (read the full abstract)

The goal of this work is to propose a general approach for surveillance video indexing and retrieval. Based on the hypothesis that videos are preprocessed by an external video analysis module, this approach is composed of two phases : indexing phase and retrieval phase. In order to profit from the output of various video analysis modules, a general data model consisting of two main concepts, objects and events, is proposed. The indexing phase that aims at preparing data defined in the data model performs three tasks. Firstly, two new key blob detection methods in the object representation task choose for each detected object a set of key blobs associated with a weight. Secondly, the feature ... toggle 5 keywords

video indexing video retrieval query language matching videosurveillance

Information

Author
Thi-Lan, Le
Institution
INRIA, Sophia Antipolis
Supervisors
Publication Year
2009
Upload Date
May 21, 2016

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