QQ客服 官方微博 反馈留言

	Local adaptive learning and fusion for side information interpolation in distributed video coding
	Liu, Xianming ; Zhang, Yongbing ; Li, Yongpeng ; Liu, Hongbin ; Ma, Siwei ; Zhao, Debin
	2009
英文摘要	Motivated by theoretical analysis of the curve fitting problem based on equivalent kernel, in this paper we propose a local adaptive learning and fusion model for side information interpolation in distributed video coding. In the proposed model, each pixel in the interpolated frame is approximated as the linear combination of samples within a local spatio-temporal window using kernel parameters as weight. The size of training window can be adaptive to the motion characteristic of video, from samples in which the kernel parameters can be locally learned. In order to further improve the quality of interpolated frames, we introduce a belief-projection based fusion strategy with adaptive weights for multiple interpolated results which are with the same time index. Experimental results demonstrate that the proposed learning and fusion model is effective in performance for side information interpolation in distributed video coding.; EI; 0
语种	英语
DOI标识	10.1109/PCS.2009.5167350
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/263216]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Liu, Xianming,Zhang, Yongbing,Li, Yongpeng,et al. Local adaptive learning and fusion for side information interpolation in distributed video coding. 2009-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。