Content-based scalable H.263 video coding for road traffic monitoring based on regularity of video content

Wallace Kai Hong Ho, Pak Kong Lun

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

For real-time road traffic monitoring, the content-based scalable H.263 video codec was recently proposed. To achieve high compression rate, it was suggested to analyze the activity of the target road-trafic video such that moving objects are coded in different data rates according to their speed. However, the analysis peformed 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 in this paper. 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.
Original languageEnglish
Title of host publicationProceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
Pages324-327
Number of pages4
Publication statusPublished - 1 Dec 2001
Event2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001 - Hong Kong, Hong Kong
Duration: 2 May 20014 May 2001

Conference

Conference2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
Country/TerritoryHong Kong
CityHong Kong
Period2/05/014/05/01

ASJC Scopus subject areas

  • Computer Science(all)

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