On the Application of Multivariate Kernel Density Estimation to Image Error Concealment
Koloda J, Peinado A, Sánchez V (2013)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2013
Pages Range: 1330-1334
Event location: Vancouver
ISBN: 978-1-4799-0356-6
DOI: 10.1109/ICASSP.2013.6637867
Abstract
This paper proposes a methodology for the application of multivariate kernel density estimation (KDE) to MMSE-based image/video error concealment (EC). We show that the estimation of the kernel bandwidth matrix for EC must follow a criterion different from that of typical KDE problems. In particular, we propose a bandwidth built as the product of a structure matrix and a scale factor obtained with a minimum square error criterion. We show that our proposal can achieve average PSNR improvements larger than 1 dB with respect to other state-of-the-art techniques.
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How to cite
APA:
Koloda, J., Peinado, A., & Sánchez, V. (2013). On the Application of Multivariate Kernel Density Estimation to Image Error Concealment. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 1330-1334). Vancouver, CA.
MLA:
Koloda, Jan, A.M. Peinado, and V. Sánchez. "On the Application of Multivariate Kernel Density Estimation to Image Error Concealment." Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver 2013. 1330-1334.
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