Share Email Print

Proceedings Paper

An efficient coding scheme for surveillance videos captured by stationary cameras
Author(s): Xianguo Zhang; Luhong Liang; Qian Huang; Yazhou Liu; Tiejun Huang; Wen Gao
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, a new scheme is presented to improve the coding efficiency of sequences captured by stationary cameras (or namely, static cameras) for video surveillance applications. We introduce two novel kinds of frames (namely background frame and difference frame) for input frames to represent the foreground/background without object detection, tracking or segmentation. The background frame is built using a background modeling procedure and periodically updated while encoding. The difference frame is calculated using the input frame and the background frame. A sequence structure is proposed to generate high quality background frames and efficiently code difference frames without delay, and then surveillance videos can be easily compressed by encoding the background frames and difference frames in a traditional manner. In practice, the H.264/AVC encoder JM 16.0 is employed as a build-in coding module to encode those frames. Experimental results on eight in-door and out-door surveillance videos show that the proposed scheme achieves 0.12 dB~1.53 dB gain in PSNR over the JM 16.0 anchor specially configured for surveillance videos.

Paper Details

Date Published: 4 August 2010
PDF: 10 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77442A (4 August 2010); doi: 10.1117/12.863522
Show Author Affiliations
Xianguo Zhang, Peking Univ. (China)
Luhong Liang, Institute of Computing Technology (China)
Qian Huang, Institute of Computing Technology (China)
Yazhou Liu, Harbin Institute of Technology (China)
Tiejun Huang, Peking Univ. (China)
Wen Gao, Peking Univ. (China)

Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

© SPIE. Terms of Use
Back to Top