Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37658
Title: Content-based scalable H.263 video coding for road traffic monitoring based on regularity of video content
Authors: Ho, WKH
Lun, DPK 
Keywords: Automated highways
Code standards
Data compression
Image motion analysis
Real-time systems
Road traffic
Video codecs
Video coding
Issue Date: 2001
Source: Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2001, 02 May 2001-04 May 2001, Hong Kong, p. 324-327 How to cite?
Abstract: For real-time road traffic monitoring, the content-based scalable H.263 video codec was proposed. To achieve a high compression rate, it was suggested to analyze the activity of the target road-traffic video such that moving objects are coded in different data rates according to their speed. However, the analysis performed by that approach relies on the variance of the scene change magnitude. It can be inaccurate when the scene is complicated. An alternative approach is proposed. For the proposed approach, the moving objects, i.e. cars, are first extracted from the steady background. Their activities are then classified as fast or slow by assessing the regularity of their motion. It is achieved by evaluating the zero crossing density of the derivative of the scene change pattern across time. The information is then passed to a modified H.263 encoder to reduce the temporal and spatial redundancies in the video. As compared with the conventional H.263 encoder using for the same application, the proposed system has a 20% increase in compression rate with negligible visual distortion. When comparing with the previous content-based scalable approach, the current approach has a much higher accuracy in activity analysis. The proposed system fully complies with the ITU H.263 standard hence the encoded bit stream is completely comprehensible to the conventional H.263 decoder
URI: http://hdl.handle.net/10397/37658
ISBN: 962-85766-2-3
DOI: 10.1109/ISIMP.2001.925399
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

WEB OF SCIENCETM
Citations

1
Last Week
0
Last month
Citations as of Sep 16, 2017

Page view(s)

33
Last Week
4
Last month
Checked on Sep 18, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.