An Autoencoder Based Approach to Enable High Fidelity Video Conferencing over Low Bandwidth Networks
Shourya Kulshrestha, Akshay Jain, Ashish Kumar Sahani · 2021 IEEE 18th India Council International Conference (INDICON) · 2021
Data lagging and distortion has been the issue for the majority of us since the usage of online video conferencing platforms has become a routine of our daily life. In this paper, we attempted to design a solution for this by specifically for the image part of the videos, by building a convolution neural network based autoencoder, which will compress the images being sent from one end to another in a batch of 5 frames, and stretch it back to its original size on the receiver end. We calculated the accuracy and loss obtained for the same for comparison purposes.