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SN Applied Sciences
This paper proposes learning-based approaches for transcoding videos compressed using the Moving Picture Experts Group 2 format into the High Efficiency Video Coding (HEVC) format. In the training mode of the transcoder, mappings between extracted features and split decisions are calculated. While in the transcoding mode, the split decisions of Coding Units of the HEVC video are predicted. Two formulations are proposed for the prediction of split decisions based on multi model and multi-tierdoi:10.1007/s42452-020-2909-7 fatcat:bnsvaxonnvaqtc3n23bnaambze