Recently deep learning techniques are employed in video compression. The machine learning models especially for deep learning highly rely on the training data i e data dependency. In the hope of advocating the research of deep learning based video coding we present a case study of our developed prototype video codec deep learning video coding dlvc. Deep learning based video coding.Ī review and a case study.
Dlvc features two deep tools that are both based on convolutional neural network cnn namely cnn based in loop filter and cnn based block adaptive resolution coding. However deep learning based video coding remains in its infancy. We review the representative works about using deep learning for image video coding an actively developing research area since 2015. The past decade has witnessed great success of deep learning technology in many disciplines especially in computer vision and image processing. However deep learning based video coding remains in. New coding schemes that are built primarily upon deep networks and deep network based coding tools that shall be used within traditional coding. Dlvc features two deep tools that are both based on convolutional neural network cnn namely cnn based in loop filter cnn ilf and cnn based block adaptive resolution coding cnn barc. Most methods aim to improve the performance of the existing video compression algorithms by replacing particular modules such. A review and a case study dong liu yue li jianping lin houqiang li feng wu submitted on the past decade has witnessed great success of deep learning technology in many disciplines especially in computer vision and image processing. In the hope of advocating the research of deep learning based video coding we present a case study of our developed prototype video codec namely deep learning video coding dlvc. We divide the related works into two categories. Top 18 Artificial Intelligence Platforms In 2020 Reviews For the off line learning models they are fixed.ĭeep learning based video coding a review and a case study.