Inserting deep learning tools into the framework of the versatile video coding (VVC) engineered approach to provide enhanced RD performance from signal-dependent compression without increasing total computational complexity. Develop a compression framework based on variational autoencoder and generative adversarial networks (GAN) architectures decoupled from the traditional hybrid coding paradigm and fully adopt signal-dependent compression. Incorporate scene flow to enhance prediction accuracy for any temporal redundancy reduction system within the above two approaches. For the mentioned aims, I need to work with DNN networks, and it requires High-performance Computing systems.