Image Processing and Restriction of Video Downloads Using Cloud

Authors

  • Yaram Hari Krishna

  • Kanagala Bharath Kumar

  • Dasari Maharshi

  • J Amudhavel

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

Received date: July 16, 2018

Accepted date: July 16, 2018

Published date: May 31, 2018

DOI:

https://doi.org/10.14419/ijet.v7i2.32.15705

Keywords:

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

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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

Received date: July 16, 2018

Accepted date: July 16, 2018

Published date: May 31, 2018