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Secure access control and large scale robust representation for online multimedia event detection.

Changyu Liu1, Bin Lu2, Huiling Li3

  • 1School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China ; School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

Thescientificworldjournal
|August 23, 2014
PubMed
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We developed a secure online multimedia event detection (MED) system. Our novel Tree Proxy-based and Service-oriented Access Control (TPSAC) model and 1000-Object-Bank (1000OBK) descriptor enhance security and event representation.

Area of Science:

  • Computer Science
  • Multimedia Systems
  • Information Security

Background:

  • Integrating traditional event detection algorithms into online environments presents challenges in secure access control and robust representation.
  • Existing methods lack adequate security measures and scalable, effective feature descriptors for multimedia event detection (MED).

Purpose of the Study:

  • To address the secure access control and large-scale robust representation issues in online multimedia event detection.
  • To propose and validate novel solutions for enhancing the security and representational capabilities of MED systems.

Main Methods:

  • Developed a Tree Proxy-based and Service-oriented Access Control (TPSAC) model, extending traditional role-based access control.
  • Proposed a 1000-Object-Bank (1000OBK) event descriptor inspired by object-bank scene descriptors, utilizing generic object detectors and a spatial bag-of-words approach.

Related Experiment Videos

Last Updated: Apr 25, 2026

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

4.6K
  • Conducted verification experiments on the CloudSim simulation platform and event classification experiments on the TRECVID MED 2012 dataset.
  • Main Results:

    • The TPSAC model demonstrated suitability for access control in dynamic online environments.
    • The 1000OBK event descriptor outperformed state-of-the-art approaches in event classification tasks.
    • Experimental results confirmed the effectiveness of both proposed models.

    Conclusions:

    • The TPSAC model provides a secure and efficient access control mechanism for online MED systems.
    • The 1000OBK event descriptor offers a robust and high-performing solution for multimedia event representation and detection.
    • The developed system enhances the integration of traditional algorithms into online environments, improving security and accuracy.