eprintid: 4026
rev_number: 7
eprint_status: archive
userid: 311
dir: disk0/00/00/40/26
datestamp: 2020-07-18 02:46:31
lastmod: 2020-07-18 02:46:31
status_changed: 2020-07-18 02:46:31
type: article
metadata_visibility: show
creators_name: Hoang, Van Xiem
creators_id: xiemhoang@vnu.edu.vn
title: Adaptive Quantization Parameter Estimation for HEVC Based Surveillance Scalable Video Coding
ispublished: pub
subjects: ECE
subjects: ElectronicsandComputerEngineering
divisions: fac_fet
abstract: Visual surveillance systems have been playing a vital role in human modern life with a large number of applications, ranging from remote home management, public security to traffic monitoring. The recent High Efficiency Video Coding (HEVC) scalable extension, namely SHVC, provides not only the compression efficiency but also the adaptive streaming capability. However, SHVC is originally designed for videos captured from generic scenes rather than from visual surveillance systems. In this paper, we propose a novel HEVC based surveillance scalable video coding (SSVC) framework. First, to achieve high quality inter prediction, we propose a long-term reference coding method, which adaptively exploits the temporal correlation among frames in surveillance video. Second, to optimize the SSVC compression performance, we design a quantization parameter adaptation mechanism in which the relationship between SSVC rate-distortion (RD) performance and the quantization parameter is statistically modeled by a fourth-order polynomial function. Afterwards, an appropriate quantization parameter is derived for frames at long-term reference position. Experiments conducted for a common set of surveillance videos have shown that the proposed SSVC significantly outperforms the relevant SHVC standard, notably by around 6.9% and 12.6% bitrate saving for the low delay (LD) and random access (RA) coding configurations, respectively while still providing a similar perceptual decoded frame quality.
date: 2020-05-30
date_type: published
publisher: MDPI
official_url: https://www.mdpi.com/journal/electronics
id_number: https://doi.org/10.3390/electronics9060915
full_text_status: public
publication: Electronics
volume: 9
number: 6
pagerange: 1-16
refereed: TRUE
issn: 2079-9292
related_url_url: https://www.mdpi.com/journal/electronics
related_url_type: pub
funders: Vietnam National University, Hanoi (VNU)
projects: QG.19.22
citation:   Hoang, Van Xiem  (2020) Adaptive Quantization Parameter Estimation for HEVC Based Surveillance Scalable Video Coding.  Electronics, 9  (6).   pp. 1-16.  ISSN 2079-9292     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4026/1/electronics-09-00915-v2%20%282%29.pdf