Spatiotemporal segmentation based on two-dimensional spatiotemporal entropic thresholding
Fan JP ; Zhang LM ; Gan FX(干福熹)
刊名opt. eng.
1997
卷号36期号:10页码:2845
关键词segmentation spatiotemporal entropic thresholding coding complexity human visual masking
ISSN号0091-3286
中文摘要a novel spatiotemporal segmentation technique is further developed for extracting uncovered background and moving objects from the image sequences, then the following motion estimation is performed only on the regions corresponding to moving objects. the frame difference contrast (fcon) and local variance contrast (lcon), which are related to the temporal and spatial homogeneity of the image sequence, are selected to form the 2-d spatiotemporal entropy. then the spatial segmentation threshold is determined by maximizing the 2-d spatiotemporal entropy, and the temporal segmentation point is selected to minimize the complexity measure for image sequence coding. since both temporal and spatial correlation of an image sequence are exploited, this proposed spatiotemporal segmentation technique can further be used to determine the positions of reference frames adaptively, hence resulting in a low bit rate. experimental results show that this segmentation-based coding scheme is more efficient than usual fixed-size coding algorithms. (c) 1997 society of photo-optical instrumentation engineers.
学科主题光存储
语种英语
公开日期2009-09-22 ; 2010-10-12
内容类型期刊论文
源URL[http://ir.siom.ac.cn/handle/181231/3727]  
专题上海光学精密机械研究所_高密度光存储技术实验室
推荐引用方式
GB/T 7714
Fan JP,Zhang LM,Gan FX. Spatiotemporal segmentation based on two-dimensional spatiotemporal entropic thresholding[J]. opt. eng.,1997,36(10):2845, 2851.
APA Fan JP,Zhang LM,&干福熹.(1997).Spatiotemporal segmentation based on two-dimensional spatiotemporal entropic thresholding.opt. eng.,36(10),2845.
MLA Fan JP,et al."Spatiotemporal segmentation based on two-dimensional spatiotemporal entropic thresholding".opt. eng. 36.10(1997):2845.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。


©版权所有 ©2017 CSpace - Powered by CSpace