QUANTIZATION OPTIMIZED H.264 ENCODING FOR TRAFFIC VIDEO TRACKING APPLICATIONS

E. Soyak*, S. A. Tsaftaris, A. K. Katsaggelos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

The compression of video can reduce the accuracy of post-compression tracking algorithms. This is problematic for centralized applications such as traffic surveillance systems, where remotely captured and compressed video is transmitted to a central location for tracking. We propose a low complexity optimization framework that automatically identifies video features critical to tracking and concentrates bitrate on these features via quantization tables. Using the H.264 video coding standard and two commonly used state-of-the-art trackers we show that our algorithm allows for over 60% bitrate savings while maintaining comparable tracking accuracy.

Original languageEnglish
Title of host publication2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING
Place of PublicationNEW YORK
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1241-1244
Number of pages4
Publication statusPublished - 2010
EventIEEE International Conference on Image Processing - Hong Kong, United Kingdom
Duration: 26 Sept 201029 Sept 2010

Publication series

NameIEEE International Conference on Image Processing ICIP
PublisherIEEE
ISSN (Print)1522-4880

Conference

ConferenceIEEE International Conference on Image Processing
Country/TerritoryUnited Kingdom
Period26/09/1029/09/10

Keywords / Materials (for Non-textual outputs)

  • Urban traffic video tracking
  • video compression
  • optimal quantization

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