@inproceedings{107c7cb79eec4bccb59b8ceef24bfae4,
title = "Video on mobile CPU: UHD video parallel decoding for asymmetric multicores",
abstract = "This paper proposes a novel High Efficiency Video Coding (HEVC) Tile partitioning method for parallel processing by analyzing the computing ability of asymmetric multicores. The proposed method (i) analyzes the computing ability of asymmetric multicores and (ii) makes a regression model of computational complexity per video resolutions. Finally, the model (iii) determines the optimal HEVC Tile resolution for each core and partitions/allocates the Tiles to suitable cores. The proposed method minimizes the decoding time gap between faster CPU cores and power-efficient cores (big/LITTLE cores). Experimental results with 4K ultra-high definition (UHD) test sequences show an average improvement of 25\% in decoding speed for most recent Android smart phones.",
keywords = "Asymmetric multicores, HEVC, Parallel video processing, Tile",
author = "Yeongil Ryu and Ryu, \{Eun Seok\}",
note = "Publisher Copyright: {\textcopyright} 2017 Copyright held by the owner/author(s).; 8th ACM Multimedia Systems Conference, MMSys 2017 ; Conference date: 20-06-2017 Through 23-06-2017",
year = "2017",
month = jun,
day = "20",
doi = "10.1145/3083187.3083229",
language = "English",
series = "Proceedings of the 8th ACM Multimedia Systems Conference, MMSys 2017",
publisher = "Association for Computing Machinery, Inc",
pages = "229--232",
booktitle = "Proceedings of the 8th ACM Multimedia Systems Conference, MMSys 2017",
}