@inproceedings{17c4f38411494816b4051939896e75d5,
title = "Joint learning for side information and correlation model based on linear regression model in distributed video coding",
abstract = "The coding efficiency of distributed video coding system is significantly determined by the side information quality and correlation model. Motivated by theoretical analysis of the maximum likelihood treatment for linear regression model, we propose a novel joint online learning model for side information generation and correlation model estimation in this paper. In our proposed scheme, each pixel in the side information is approximated as the linear weighted combination of samples within a local spatio-temporal neighboring space. Weights are trained in a self-feedback fashion, during which the correlation model parameters can also be achieved. The efficiency of the proposed joint learning model is confirmed experimentally.",
keywords = "Correlation model, Distributed video coding, Joint learning, Linear regression model, Side information",
author = "Xianming Liu and Debin Zhao and Yongbing Zhang and Siwei Ma and Qingming Huang and Wen Gao",
year = "2009",
doi = "10.1109/ICIP.2009.5413499",
language = "英语",
isbn = "9781424456543",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "2937--2940",
booktitle = "2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings",
address = "美国",
note = "2009 IEEE International Conference on Image Processing, ICIP 2009 ; Conference date: 07-11-2009 Through 10-11-2009",
}