Abstract: Modelling complex events in unstructured data like videos not only requires detecting objects but also the spatiotemporal relationships among objects. Complex Event Processing (CEP) systems discretize continuous streams into fixed batches using windows and apply operators over these batches to detect patterns in real-time. To this end, we apply CEP techniques over video streams…
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Abstract: Complex Event Processing (CEP) is an event processing paradigm capable of detecting patterns over streaming data in real-time. Presently, CEP systems have key challenges to preform matching over video streams due to their unstructured data model and complex video patterns which occurs over time and space. In this paper, I introduce the design, implementation…
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This work presents a data-driven adaptive windowing approach to accelerate video content extraction in DNN-based Complex Event Processing (CEP) systems. The CEP windows continuously monitor low-level content of incoming video frames and exploit interframe correlations to accelerate the overall DNN content extraction process. The two main contributions are: 1) technique to create micro-batches of similar…
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Video data is highly expressive and has traditionally been very difficult for a machine to interpret. Querying event patterns from video streams is challenging due to its unstructured representation. Middleware systems such as Complex Event Processing (CEP) mine patterns from data streams and send notifications to users in a timely fashion. Current CEP systems have…
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Machine learning based applications that run on image datasets increasingly use local image feature descriptors. We can visualize images as objects and local features as parts. Typically, there are thousands of local features per image, resulting in an explosion of feature set size for already huge image datasets. In this paper, we present a feature…
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Abstract: Classic event matching techniques in large-scale Content-based Publish/Subscribe Systems mostly rely on predicate indexing or tree-based mechanisms for fast subscription evaluation. In the context of visual analytics, such techniques are limited in supporting subscriptions requiring expensive filtering operators over unstructured event types (i.e. images and videos). In this work, user subscriptions over visual content…
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Abstract: Complex Event Processing (CEP) is a paradigm to detect event patterns over streaming data in a timely manner. Presently, CEP systems have inherent limitations to detect event patterns over video streams due to their data complexity and lack of structured data model. Modelling complex events in unstructured data like videos not only requires detecting…
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