Semantic Routing and Filtering for Large-Scale Video Streams Monitoring

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. Ex...

• Type: Conference
• Year: 2005
• Where: ICMCS
• Authors: Ching-Yung Lin, Olivier Verscheure, Lisa Amini
• Keywords: ICMCS 2005, Multiple Video Streams, Semantic Routing, Video Streams