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.
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Stojkovikj, A., Gjorgjevikj, D., Ivanovski, Z. (2016). Machine Learning Approach to Blocking Effect Reduction in Low Bitrate Video. In: Loshkovska, S., Koceski, S. (eds) ICT Innovations 2015 . ICT Innovations 2015. Advances in Intelligent Systems and Computing, vol 399. Springer, Cham. https://doi.org/10.1007/978-3-319-25733-4_18
Download citation
DOI: https://doi.org/10.1007/978-3-319-25733-4_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25731-0
Online ISBN: 978-3-319-25733-4
eBook Packages: Computer ScienceComputer Science (R0)