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Efficient and Privacy Preserving Video Transmission in 5G-Enabled IoT Surveillance Networks: Current Challenges and Future Directions

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Secure-VS-over-5G

Efficient and Privacy Preserving Video Transmission in 5G-Enabled IoT Surveillance Networks: Current Challenges and Future Directions

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The codes will be uploaded after the acceptance of the paper that is under revision

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Hussain, T., Muhammad, K., Del Ser, J., Baik, S. W., & de Albuquerque, V. H. C. (2019). Intelligent Embedded Vision for Summarization of Multi-View Videos in IIoT. IEEE Transactions on Industrial Informatics.

If you are interested in Video Summarization domain you may find some of my other recent papers worthy to read:


K. Muhammad, T. Hussain, and S. W. Baik, "Efficient CNN based summarization of surveillance videos for resource-constrained devices," Pattern Recognition Letters, 2018/08/07/ 2018

Hussain, Tanveer, Khan Muhammad, Amin Ullah, Zehong Cao, Sung Wook Baik, and Victor Hugo C. de Albuquerque. "Cloud-Assisted Multi-View Video Summarization using CNN and Bi-Directional LSTM." IEEE Transactions on Industrial Informatics (2019).

K. Muhammad, T. Hussain, M. Tanveer, G. Sannino and V. H. C. de Albuquerque, "Cost-Effective Video Summarization using Deep CNN with Hierarchical Weighted Fusion for IoT Surveillance Networks," in IEEE Internet of Things Journal.
doi: 10.1109/JIOT.2019.2950469

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Efficient and Privacy Preserving Video Transmission in 5G-Enabled IoT Surveillance Networks: Current Challenges and Future Directions

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