Secure Access Control and Large Scale Robust Representation for Online Multimedia Event Detection

Abstract EN

We developed an online multimedia event detection (MED) system.

However, there are a secure access control issue and a large scale robust representation issue when we want to integrate traditional event detection algorithms into the online environment.

For the first issue, we proposed a tree proxy-based and service-oriented access control (TPSAC) model based on the traditional role based access control model.

Verification experiments were conducted on the CloudSim simulation platform, and the results showed that the TPSAC model is suitable for the access control of dynamic online environments.

For the second issue, inspired by the object-bank scene descriptor, we proposed a 1000-object-bank (1000OBK) event descriptor.

Feature vectors of the 1000OBK were extracted from response pyramids of 1000 generic object detectors which were trained on standard annotated image datasets, such as the ImageNet dataset.

A spatial bag of words tiling approach was then adopted to encode these feature vectors for bridging the gap between the objects and events.

Furthermore, we performed experiments in the context of event classification on the challenging TRECVID MED 2012 dataset, and the results showed that the robust 1000OBK event descriptor outperforms the state-of-the-art approaches.