Extracting Intentionally Captured Regions Using Point Trajectories
Extracting Intentionally Captured Regions Using Point Trajectories
复制标题
使用点轨迹提取有意捕获的区域
DOI：
10.1145/2072298.2072029
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
N.Babaguchi
中科院分区：
文献类型：
--
作者：
Y.Nakashima;N.Babaguchi
当摄影师使用移动摄像机拍摄视频时，他们通常有捕捉意图，即他们想要在视频中表达什么，并且在视频帧中存在对捕捉意图至关重要的有意捕获区域（ICRs）。因此，ICRs的提取有利于视频摘要和小显示器视频自适应等广泛的应用。本文提出了一种自动提取ICRs的新方法。摄像人员通常会移动他/她的摄像机，以便将icr安排在视频帧中的适当位置；因此，icr可以产生特定的运动。这一观察结果表明，这种特定的运动是提取icr的重要线索。该方法通过点轨迹（视频帧中空间密集点的长期轨迹）表示运动，并利用基于点轨迹的ICR模型提取ICR。我们对所提出的方法进行了实验评估，以证明其潜在的适用性。
When camera persons take videos with mobile video cameras, they usually have capture intentions, i.e., what they want to express in their videos, and there are intentionally captured regions (ICRs) in the video frames that are essential for the capture intentions. Extracting ICRs is thus beneficial for wide range of applications such as video summarization and video adaptation for small displays. In this paper, we present a novel method for automatically extracting ICRs. A camera person usually moves his/her camera so that ICRs can be arranged in appropriate positions in video frames; therefore, ICRs can yield specific motion. This observation indicates that such specific motion is a vital cue for extracting ICRs. The proposed method represents motion by point trajectories, which are long-term trajectories of spatially dense points in video frames, and extracts ICRs using an ICR model based on the point trajectories. We experimentally evaluate the proposed method to demonstrate its potential applicability.