Share Email Print
cover

Journal of Electronic Imaging

Statistical and spatiotemporal correlation based low-complexity video coding for high-efficiency video coding
Author(s): Xiwu Shang; Guozhong Wang; Tao Fan; Yan Li
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper Abstract

High-efficiency video coding (HEVC) is a new coding standard that adopts the quadtree splitting structure based on coding tree units instead of macroblocks, and can support more coding modes and more partitions. Although it can improve compression efficiency, the flexible quadtree block partition and mode selection result in high computational complexity in real-time applications. We propose a low-complexity video coding algorithm for HEVC by utilizing statistical correlation and spatiotemporal correlation, which consists of an early determination of SKIP mode (EDSM) method and an early termination of reference frame selection (ETRFS) method. Since there is a strong correlation for the rate distortion (RD) cost for the SKIP mode between adjacent frames, EDSM detects the SKIP mode according to the threshold derived from the former training frame. Meanwhile, ETRFS terminates the process of reference frame selection using the motion vector and reference frame information from neighboring blocks to skip unnecessary candidate frames. Experimental results demonstrate that the proposed method can achieve about 45.01% complexity reduction on average with a 1.11% BD-rate increase and 0.04 BD-PSNR decrease for random access. The complexity reduction, BD-rate increase, and BD-PSNR decrease for low delay are 46.16%, 0.99%, and 0.03, respectively.

Paper Details

Date Published: 9 March 2015
PDF: 11 pages
J. Electron. Imaging. 24(2) 023006 doi: 10.1117/1.JEI.24.2.023006
Published in: Journal of Electronic Imaging Volume 24, Issue 2
Show Author Affiliations
Xiwu Shang, Shanghai Univ. (China)
Guozhong Wang, Shanghai Univ. (China)
Tao Fan, Shanghai Univ. (China)
Yan Li, Shanghai Univ. (China)


© SPIE. Terms of Use
Back to Top