Sequential error concealment via canonical correlation analysis

Fan Wen, Liang Junli, Ye Xin, Min Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

In this paper, we propose a new error concealment algorithm for video/image based on canonical correlation analysis (CCA). Motivated by the Intra prediction in H.264/AVC, it is reasonable to assume that there is a strong spatial correlation relationship between the lost regions and their known adjacent regions. Based on the above idea, we use CCA to estimate a correlation projection matrix which utilizes the loss of macro block adjacent spatial information, then we use the projection matrix and the adjacent region to estimate missing pixel area. In addition, in order to use the spatial information efficiently, we apply the neighbor-embedding-type weight into the aforementioned CCA model. Experimental results demonstrate that the proposed method improves the subjective and objective image quality to a large extent in comparison with other existing methods.

源语言英语
主期刊名2015 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2015
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781479989188
DOI
出版状态已出版 - 25 11月 2015
活动5th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2015 - Ningbo, Zhejiang, 中国
期限: 19 9月 201522 9月 2015

出版系列

姓名2015 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2015

会议

会议5th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2015
国家/地区中国
Ningbo, Zhejiang
时期19/09/1522/09/15

指纹

探究 'Sequential error concealment via canonical correlation analysis' 的科研主题。它们共同构成独一无二的指纹。

引用此