@inproceedings{cfed55f3633d4b30bfecbf581256f0d7,
title = "Fast HEVC to SCC Transcoding Based on Decision Trees",
abstract = "Screen Content Coding (SCC) is an extension of the High-Efficiency Video Coding (HEVC) for encoding screen content videos. However, there are many legacy screen content videos already encoded by HEVC. To efficiently migrate screen content videos from the existing HEVC to the emerging SCC, a machine learning based fast transcoding algorithm is proposed by using decision trees in this paper. To speed up the transcoding process, the intermediate data from both the HEVC decoder side and the SCC encoder side are jointly analyzed. Then the optimal coding unit (CU) sizes are mapped from HEVC to SCC while the mode candidates are adaptively checked according to the decision tree outcomes in the re-encoding process. Experimental results show that an average of 48.20% re-encoding time reduction is achieved with only 1.47% Bjontegaard delta bitrate loss using All Intra (AI) configuration.",
keywords = "High Efficiency Video Coding, machine learning, Screen Content Coding, Transcoding",
author = "Wei Kuang and Chan, {Yui Lam} and Tsang, {Sik Ho} and Siu, {Wan Chi}",
year = "2018",
month = jul,
day = "23",
doi = "10.1109/ICME.2018.8486461",
language = "English",
series = "Proceedings - IEEE International Conference on Multimedia and Expo",
publisher = "IEEE Computer Society",
booktitle = "2018 IEEE International Conference on Multimedia and Expo, ICME 2018",
address = "United States",
note = "2018 IEEE International Conference on Multimedia and Expo, ICME 2018 ; Conference date: 23-07-2018 Through 27-07-2018",
}