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Journal Article Fast Encoding Algorithm for High-Efficiency Video Coding (HEVC) System Based on Spatio-Temporal Correlation
Cited 17 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Jong-Hyeok Lee, Kalyan Goswami, Byung-Gyu Kim, Seyoon Jeong, Jin Soo Choi
Issue Date
2016-08
Citation
Journal of Real-Time Image Processing, v.12, no.2, pp.407-418
ISSN
1861-8200
Publisher
Springer
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1007/s11554-014-0484-0
Abstract
Video compression technology is an important research part to the intelligent user interface for interactive multimedia system using technologies and services such as image processing, pattern recognition, computer vision and cloud computing service. Recently, high-efficiency video coding (HEVC) has been established as the demand of very high-quality multimedia service like ultrahigh definition video service. High-efficiency video coding (HEVC) standard has three units such as coding unit (CU), prediction unit (PU) and transform unit. It has too many complexities to improve coding performance. We propose a fast algorithm which can be possible to apply for both CU and PU parts. To reduce the computational complexity, we propose CU splitting algorithm based on rate?밺istortion cost of CU about the parent and current levels to terminate the CU decision early. In terms of PU, we develop fast PU decision based on spatio-temporal and depth correlation for PU level. Finally, experimental results show that our algorithm provides a significant time reduction for encoding with a small loss in video quality, compared to the original HEVC Test Model (HM) version 10.0 software and the previous algorithm.
KSP Keywords
CU Decision, CU splitting, Cloud computing service, Coding performance, Coding unit(CU), Computational complexity, Computer Vision(CV), Encoding algorithm, Fast encoding, HEVC Test Model(HM), High-quality