We developed an online multimedia event detection (MED) system. However, there are a secure access control issue and a large\nscale robust representation issue when we want to integrate traditional event detection algorithms into the online environment. For\nthe first issue, we proposed a tree proxy-based and service-oriented access control (TPSAC) model based on the traditional role\nbased access controlmodel.Verification experiments were conducted on the CloudSim simulation platform, and the results showed\nthat the TPSAC model is suitable for the access control of dynamic online environments. For the second issue, inspired by the\nobject-bank scene descriptor, we proposed a 1000-object-bank (1000OBK) event descriptor. Feature vectors of the 1000OBK were\nextracted from response pyramids of 1000 generic object detectors which were trained on standard annotated image datasets, such\nas the ImageNet dataset.Aspatial bag ofwords tiling approach was then adopted to encode these feature vectors for bridging the gap\nbetween the objects and events. Furthermore, we performed experiments in the context of event classification on the challenging\nTRECVID MED 2012 dataset, and the results showed that the robust 1000OBK event descriptor outperforms the state-of-the-art\napproaches.
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