Image Processing and Restriction of Video Downloads Using Cloud

  • Authors

    • Yaram Hari Krishna
    • Kanagala Bharath Kumar
    • Dasari Maharshi
    • J Amudhavel
    https://doi.org/10.14419/ijet.v7i2.32.15705

    Received date: July 16, 2018

    Accepted date: July 16, 2018

    Published date: May 31, 2018

  • Image detection, convolutional neural network (CNN), Machine learning, Video restriction, Debugging, deep neural network.
  • Abstract

    Flower image classification using deep learning and convolutional neural network (CNN) based on machine learning in Tensor flow. Tensor flow IDE is used to implement machine learning algorithms. Flower image processing is based on supervised learning which detects the parameters of image. Parameters of the image were compared by decision algorithms. These images are classified by neurons in convolutional neural network. Video processing based on machine learning is used in restriction of downloading the videos by preventing the second response from the server and enabling the debugging of the video by removing the request from the user.

  • References

    1. Francesco Rossi, Alfredo benso , Stefano Di Carlo, Gianfranco Poli-tano, Alessandro Savino and Pier Luigi Acutis ”FishAPP: a Mobile App to Detect Fish Falsification through Image Processing and Ma-chine Learning Techniques”.
    2. N.Srinivasan, R.S.Ponmagal ”Machine Learning Approach for Ex-ploring Rock Arts through the Cloud Infrastructure”.
    3. Fengying Xie, Mengyun Shi, Zhenwei Shi “Multilevel Cloud Detec-tion in Remote Sensing Images Based on Deep Learning”.
    4. SOHINI ROYCHOWDHURY,” Azure-Based Generalized Flow for Medical Image Classification”.
    5. https://github.com/search?utf8=%E2%9C%93&q=org%3Atensorflow+machine+learning&type=
    6. https://www.tensorflow.org/get_started/get_started.
    7. Alapatt, B.P., Kavitha, A., Amudhavel, J., "A novel encryption algo-rithm for end to end secured fiber optic communication", (2017) In-ternational Journal of Pure and Applied Mathematics, 117 (19 Spe-cial Issue), pp. 269-275.
    8. Amudhavel, J., Ilamathi, R., Moganarangan, N., Ravishankar, V., Baskaran, R., Premkumar, K., "Performance analysis in cloud audit-ing: An analysis of the state-of-the-art", (2015) International Journal of Applied Engineering Research, 10 (3), pp. 2043-2046.
    9. Amudhavel, J., Inbavalli, P., Bhuvaneswari, B., Anandaraj, B., Vengattaraman, T., Premkumar, K., "An effective analysis on har-mony search optimization approaches", (2015) International Journal of Applied Engineering Research, 10 (3), pp. 2035-2038.
    10. Amudhavel, J., Kathavate, P., Reddy, L.S.S., Bhuvaneswari Aadharshini, A., "Assessment on authentication mechanisms in dis-tributed system: A case study", (2017) Journal of Advanced Re-search in Dynamical and Control Systems, 9 (Special Issue 12), pp. 1437-1448.
    11. Amudhavel, J., Kathavate, P., Reddy, L.S.S., Satyanarayana, K.V.V., "Effects, challenges, opportunities and analysis on security based cloud resource virtualization", (2017) Journal of Advanced Research in Dynamical and Control Systems, 9 (Special Issue 12), pp. 1458-1463.
    12. Amudhavel, J., Kodeeshwari, C., Premkumar, K., Jaiganesh, S., Ra-jaguru, D., Vengattatraman, T., Haripriya, R., "Comprehensive anal-ysis on information dissemination protocols in vehicular ad hoc net-works", (2015) International Journal of Applied Engineering Re-search, 10 (3), pp. 2058-2061.
    13. Amudhavel, J., Padmapriya, S., Nandhini, R., Kavipriya, G., Dha-vachelvan, P., Venkatachalapathy, V.S.K., "Recursive ant colony optimization routing in wireless mesh network", (2016) Advances in Intelligent Systems and Computing, 381, pp. 341-351.
  • Downloads

  • How to Cite

    Hari Krishna, Y., Bharath Kumar, K., Maharshi, D., & Amudhavel, J. (2018). Image Processing and Restriction of Video Downloads Using Cloud. International Journal of Engineering and Technology, 7(2.32), 327-330. https://doi.org/10.14419/ijet.v7i2.32.15705