State-of-the-art video coding approaches: A survey
Mai Xu, Yilin Liang, Zulin Wang · 2015
The past few decades have witnessed the explorative growth of video services around humans. However, due to the limited spectrum, video coding has to be developed for efficient video delivery. The core of video coding is compressing video frames by exploiting their redundancy. Aiming at decreasing spatio-temporal redundancy, several video coding standards have been proposed with a hybrid framework during the past two decades. We therefore first survey in this paper the existing standards on video coding. Second, we review some other video coding approaches, which take advantage of state-of-the-art computer vision and machine learning technologies, for lessening both spatio-temporal and perceptual redundancy of images/videos. In retrospect of what has been achieved so far, we finally outlook what the future may hold for video coding.