[P] Training a Quantized Video Compression Autoencoder

The aim of this project is to achieve extreme video compression using a quantized autoencoder combined with other generative models that can enhance the quality of the decompressed video. The motivation for this project is the need for a fast and efficient compression algorithm that can handle large amounts of video data from the web, which current hard-coded algorithms cannot satisfy (my needs, as I store a LOT of data). Moreover, this project explores the potential of this model architecture …

aim algorithm autoencoder compression data generative generative models machinelearning motivation project quality training video video compression video data