Review on Semantic Content Extraction in Videos

  • Authors

    • Anuranji R
    • Dr. Srimathi H
    https://doi.org/10.14419/ijet.v8i1.10.28322
  • Auditors, fraud, detection, prevention

  • Corporate governance has emerged as a big issue in corporate sector due to the scams and scandals that are taking place to maintain equilibrium between economic and public goals individually and collectively.

    The present paper is concerned with the role of Auditors as stake holders in corporate governance process and the importance of each Auditor in detection and prevention of fraud as stakeholder in knowing about the disclosure level in the corporate governance process.

    The overall conclusion of the paper is that stakeholders primarily auditors should contribute their portion with responsibility as it represents value frame work, ethical frame work, and moral frame work of the present-day global business.

     

     

  • References

    1. [1] Y. Yildirim, A. Yazici, T. Yilmaz, "Automatic Semantic Content Extraction in Videos Using a Fuzzy Ontology and Rule-Based Model", IEEE Transactions on Knowledge & Data Engineering, vol.25, no. 1, pp. 47-61, Jan. 2013, doi:10.1109/TKDE.2011.189

      [2] M. Petkovic and W. Jonker, “Content-Based Video Retrieval by Integrating Spatio-Temporal and Stochastic Recognition of Events,†Proc. IEEE Int’l Workshop Detection and Recognition of Events in Video, pp. 75-82, 2001.

      [3] L. Bai, S.Y. Lao, G. Jones, and A.F. Smeaton, “Video Semantic Content Analysis Based on Ontology,†IMVIP ’07: Proc. 11th Int’l Machine Vision and Image Processing Conf., pp. 117-124, 2007.

      [4] Andrea Cavallarao and Touradj Ebrahimi, “Object Based video: Extraction tools, evaluation metrics and application†.

      [5] M. Petkovic and W. Jonker, “An Overview of Data Models and Query Languages for Content-Based Video Retrieval,†Proc. Int’l Conf. Advances in Infrastructure for E-Business, Science, and Education on a Internet, Aug. 2000.

      [6] G.G. Medioni, I. Cohen, F. Bre´mond, S. Hongeng, and R. Nevatia, “Event Detection and Analysis from Video Streams,†IEEE Trans. Pattern Analysis Machine Intelligence, vol. 23, no. 8, pp. 873-889, Aug. 2001.

      [7] Hakeem and M. Shah, “Multiple Agent Event Detection and Representation in Videosâ€, Proc. 20th Nat’l Conf. Artificial Intelligence (AAAI), pp. 89-94, 2005.

      [8] S. Hongeng, R. Nevatia, and F. Bre´mond, “Video-Based Event Recognition: Activity Representation and Probabilistic Recognition Methods,†Computer Vision and Image Understanding, vol. 96, no. 2, pp. 129-162, 2004.

      [9] M.E. Do’nderler, E. Saykol, U. Arslan, O ¨ . Ulusoy, and U. Gu¨du¨ kbay, “Bilvideo: Design and Implementation of a Video Database Management System,†Multimedia Tools Applications, vol. 27, no. 1, pp. 79-104, 2005.

      [10] T. Sevilmis, M. Bastan, U. Gu¨du¨ kbay, and O ¨ . Ulusoy, “Automatic Detection of Salient Objects and Spatial Relations in Videos for a Video Database System,†Image Vision Computing, vol. 26, no. 10, pp. 1384-1396, 2008.

      [11] M. Ko¨pru¨ lu¨, N.K. Cicekli, and A. Yazici, “Spatio-Temporal Querying in Video Databases,†Information Sciences, vol. 160, nos. 1-4, pp. 131-152, 2004.

      [12] J. Fan, W. Aref, A. Elmagarmid, M. Hacid, M. Marzouk, and X. Zhu, “Multiview: Multilevel Video Content Representation and Retrieval,†J. Electronic Imaging, vol. 10, no. 4, pp. 895-908, 2001.

  • Downloads

  • How to Cite

    R, A., & Srimathi H, D. (2019). Review on Semantic Content Extraction in Videos. International Journal of Engineering & Technology, 8(1.10), 151-154. https://doi.org/10.14419/ijet.v8i1.10.28322