Complexity-Constrained Video Encoding and Delivery using Configuration Transfer Matrix

Many applications require video content to be encoded and uploaded under specific complexity constraints. While many speed-ups are available in practical video encoder implementations, it is difficult to predict the impact of such techniques on the actual content being encoded and therefore select the best configuration to meet the given constraints. A method is proposed in this paper to automatically select the encoder configuration in order to meet complexity constraints in terms of encoding and uploading time, using a pre-trained encoder configuration transfer matrix. The algorithm ensures that the content is processed within the specified targets, as presented in the experimental evaluation, where it is shown that the encoder can accurately meet specific constraints under a variety of conditions.