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Machine Learning Approach to Blocking Effect Reduction in Low Bitrate Video

  • Ana Stojkovikj
  • Dejan Gjorgjevikj
  • Zoran Ivanovski
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 399)

Abstract

This work presents an approach for blocking artifacts removal in highly compressed video sequences using an algorithm based on dictionary learning methods. In this approach only the information from the frame content is used, without any additional information from the coded bit-stream. The proposed algorithm adapts the dictionary to the spatial activity in the image, by that avoiding unnecessary blurring of regions of the image containing high spatial frequencies. The algorithms effectiveness is demonstrated using compressed video with fixed block size of 8x8 pixels.

Keywords

Image compression Video compression Coding schemes Blocking artifacts Super-resolution Dictionary learning methods Machine learning methods 

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Copyright information

© Springer International Publishing Switzerland 2016

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Authors and Affiliations

  • Ana Stojkovikj
    • 1
  • Dejan Gjorgjevikj
    • 2
  • Zoran Ivanovski
    • 1
  1. 1.FEEITSkopjeMacedonia
  2. 2.FINKISkopjeMacedonia

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