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      • Department of Electrical and Electronics Engineering
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      LMS based adaptive prediction for scalable video coding

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      Author
      Töreyin, B. Uğur
      Trocan, M.
      Pesquet-Popescu, B.
      Çetin, A. Enis
      Date
      2006-05
      Source Title
      IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006
      Print ISSN
      1520-6149
      Publisher
      IEEE
      Pages
      II37 - II40
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      3D video codecs have attracted recently a lot of attention, due to their compression performance comparable with that of state-of-art hybrid codecs and due to their scalability features. In this work, we propose a least mean square (LMS) based adaptive prediction for the temporal prediction step in lifting implementation. This approach improves the overall quality of the coded video, by reducing both the blocking and ghosting artefacts. Experimental results show that the video quality as well as PSNR values are greatly improved with the proposed adaptive method, especially for video sequences with large contrast between the moving objects and the background and for sequences with illumination variations. © 2006 IEEE.
      Keywords
      Adaptive systems
      Image quality
      Least squares approximations
      Lighting
      Mean square error
      Compression performance
      Scalability features
      Video codecs
      Image coding
      Permalink
      http://hdl.handle.net/11693/27213
      Published Version (Please cite this version)
      https://doi.org/10.1109/ICASSP.2006.1660273
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      • Department of Electrical and Electronics Engineering 3524
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