Wei Fan, Erheng Zhong, et al.
SDM 2010
In this paper, we propose a semantic routing and filtering framework for large-scale monitoring of video streams. Our goal is to build a distributed system that at any given time is capable of simultaneously monitoring the content of multiple video streams being transmitted over the Internet (or a proprietary network). A key design requirement of such a system is the ability to handle tens of gigabytes of multimedia data per second. Traditional techniques have an important limitation. Once a bottleneck in terms of CPU or storage is reached, data is dropped indiscriminately.. In this paper, we propose distributed real-time semantic filters to route and filter video data. We propose a mechanism to alter the accuracy of classification with the complexity of execution; thus avoiding system failure during periods of overload, We propose a set of novel video features that perform better than our previous semantic classifiers. This system is capable of classifying over a hundred concepts. Experiments on 190 hours of pre-stored and live video streams validate the effectiveness of the proposed system.
Wei Fan, Erheng Zhong, et al.
SDM 2010
Milind R. Naphade, Sankar Basu, et al.
ICPR 2008
Alain Biem, Eric Bouillet, et al.
SIGMOD 2010
Pascal Frossard, Olivier Verscheure, et al.
ICASSP 2006