@inproceedings{409436c15ae6477d98cf8810b511c185,
title = "Sparcity-induced structured transform in intra video coding for screen contents",
abstract = "In this paper, we propose a novel transform method based on learning a sparse model of residue in intra video coding. The proposed method considers generation of transformed coefficients locally grouped in a block as well as the sparsity of the coefficients, which can improve the coding efficiency of the screen content videos such as computer synthetic videos. The proposed method trains the transform on-line with using the residue, applied to the current frame. It is demonstrated with experiments that the proposed method improves the coding gain over HEVC Range extension standard.",
keywords = "Computer synthetic videos, HEVC, HEVC range extension, Screen contents, Sparsity-induced structured transform",
author = "Kang, {Je Won}",
note = "Funding Information: This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2014R1A1A2056587). Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; null ; Conference date: 16-09-2015 Through 18-09-2015",
year = "2015",
doi = "10.1007/978-3-319-24078-7_30",
language = "English",
isbn = "9783319240770",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "300--307",
editor = "Yo-Sung Ho and Ro, {Yong Man} and Junmo Kim and Fei Wu and Jitao Sang",
booktitle = "Advances in Multimedia Information Processing – PCM 2015 - 16th Pacific-Rim Conference on Multimedia, Proceedings",
}