欢迎访问行业研究报告数据库

行业分类

当前位置:首页 > 报告详细信息

找到报告 1 篇 当前为第 1 页 共 1

视频的选择性去动态化与稳定化

Selectively De-animating and Stabilizing Videos

作者:Jiamin Bai 作者单位:EECS Department University of California, Berkeley 加工时间:2015-03-22 信息来源:EECS 索取原文[92 页]
关键词:视频编辑;动作识别;面部特征追踪;视频稳像
摘 要:This thesis presents three systems for editing the motion of videos. First, selectively de-animating videos seeks to remove the large-scale motions of one or more objects so that other motions are easier to see. Second, we design a fully automatic system to create portrait cinemagraphs by tracking facial features and de-animating the video with respect to the face and torso.Third, we present a user-assisted video stabilization algorithm that is able to stabilize challenging videos when state-of-the-art automatic algorithms fail to generate a satisfactory result. 
© 2016 武汉世讯达文化传播有限责任公司 版权所有 技术支持:武汉中网维优
客服中心

QQ咨询


点击这里给我发消息 客服员


电话咨询


027-87841330


微信公众号




展开客服