Low Complexity Video Compression Using Moving Edge Detection Based on DCT Coefficients

  • Authors:
  • Chanyul Kim;Noel E. O'Connor

  • Affiliations:
  • CLARITY: Centre for Sensor Web Technologies, Dublin City University, Glasnevin, Dublin, Ireland;CLARITY: Centre for Sensor Web Technologies, Dublin City University, Glasnevin, Dublin, Ireland

  • Venue:
  • MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
  • Year:
  • 2009

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Abstract

In this paper, we propose a new low complexity video compression method based on detecting blocks containing moving edges using only DCT coefficients. The detection, whilst being very efficient, also allows efficient motion estimation by constraining the search process to moving macro-blocks only. The encoders PSNR is degraded by 2dB compared to H.264/AVC inter for such scenarios, whilst requiring only 5% of the execution time. The computational complexity of our approach is comparable to that of the DISCOVER codec which is the state of the art low complexity distributed video coding. The proposed method finds blocks with moving edge blocks and processes only selected blocks. The approach is particularly suited to surveillance type scenarios with a static camera.