Difference detection with encoder adaptability for low complexity surveillance video compression

Xin Jin, Satoshi Goto

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

3 Citations (Scopus)

Abstract

Video surveillance has been widely applied in broad area to improve the public safety and to protect the residential privacy. Because of the requirements in storing the video data over a period of time for future use and because of the huge size of the raw video data, video compression technique has been integrated into the video camera of the surveillance system. As a state-of-the-art video compression technique, H.264/AVC is generally in use. However, it often leads to high computational complexity, which induces high power dissipation when a tremendous amount of cameras are installed to build a large scale of surveillance system. In this paper, a difference detection algorithm is proposed to work as a preprocessing module before video encoder to reduce the computational complexity of video compression. Because of the independency between the proposed processing and the video encoding scheme, it has high adaptability to work with any existing H.264 video encoder to save the cost in implementation and application. Experimental results demonstrate that an average of over 82% of computational complexity reduction can be achieved by integrating the proposed algorithm either into an encoder with high complexity rate distortion optimization (RDO) coding scheme or an encoder with fast algorithm. Besides the significant reduction in computational complexity, an average of 0.06 dB improvement in PSNR is further achieved against the H.264 Main Profile with high complexity RDO coding scheme.

Original languageEnglish
Title of host publicationISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings
Pages489-492
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2009 - Kanazawa
Duration: 2009 Dec 72009 Dec 9

Other

Other2009 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2009
CityKanazawa
Period09/12/709/12/9

Fingerprint

Image compression
surveillance
Computational complexity
video
Video cameras
Energy dissipation
Cameras
coding
Processing
Costs
privacy
costs

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering
  • Communication

Cite this

Jin, X., & Goto, S. (2009). Difference detection with encoder adaptability for low complexity surveillance video compression. In ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings (pp. 489-492). [5383796] https://doi.org/10.1109/ISPACS.2009.5383796

Difference detection with encoder adaptability for low complexity surveillance video compression. / Jin, Xin; Goto, Satoshi.

ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings. 2009. p. 489-492 5383796.

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

Jin, X & Goto, S 2009, Difference detection with encoder adaptability for low complexity surveillance video compression. in ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings., 5383796, pp. 489-492, 2009 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2009, Kanazawa, 09/12/7. https://doi.org/10.1109/ISPACS.2009.5383796
Jin X, Goto S. Difference detection with encoder adaptability for low complexity surveillance video compression. In ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings. 2009. p. 489-492. 5383796 https://doi.org/10.1109/ISPACS.2009.5383796
Jin, Xin ; Goto, Satoshi. / Difference detection with encoder adaptability for low complexity surveillance video compression. ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings. 2009. pp. 489-492
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