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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Linear and nonlinear temporal prediction employing lifting structures for scalable video coding

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      Author
      Töreyin, B. Uğur
      Trocan, M.
      Pesquet-Popescu, B.
      Çetin, A. Enis
      Date
      2006-09
      Source Title
      European Signal Processing Conference
      Publisher
      IEEE
      Pages
      [1] - [3]
      Language
      English
      Type
      Conference Paper
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      Abstract
      Scalable 3D video codecs based on wavelet lifting structures have attracted recently a lot of attention, due to their compression performance comparable with that of state-of-art hybrid codecs. In this work, we propose a set of linear and nonlinear predictors for the temporal prediction step in lifting implementation. The predictor uses pixels on the motion trajectories of the frames in a window around the pixel to be predicted to improve the quality of prediction. Experimental results show that the video quality as well as PSNR values are improved with the proposed prediction method.
      Keywords
      3D video
      Compression performance
      Hybrid codecs
      Lifting implementation
      Lifting structure
      Motion trajectories
      Nonlinear predictors
      Prediction methods
      Quality of predictions
      Scalable video coding
      Temporal prediction
      Video quality
      Wavelet lifting
      Pixels
      Signal processing
      Image coding
      Permalink
      http://hdl.handle.net/11693/27205
      Published Version (Please cite this version)
      https://ieeexplore.ieee.org/document/7071717
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      • Department of Electrical and Electronics Engineering 3524
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