一种基于运动特征的快速有效的视频镜头全拼图方法

A Fast and Efficient Video Shot Mosaicing Approach Based on Motion Characteristics

由于全拼图能比关键帧提供更多的视觉信息,因此它已经成为视觉计算中一个重要的分析工具。为了提高全拼图的质量和拼图速度,提出了一种基于运动特征的快速有效的全拼图生成方法。该方法首先给定一个视频镜头,并基于运动相位熵的分析方法决定该镜头内容是否适合生成全拼图;然后,对于适合生成全拼图的镜头,通过构造全局运动路径的方法,仅需要挑选全部视频帧的一个子集用来生成高质量的全拼图。实验结果表明,与传统的全拼图方法相比,该新方法在提高全拼图的视觉质量的同时,显著地降低了计算时间。

Presenting more comprehensive visual information than key-frame, mosaic has been an important element for many vision tasks. This paper proposed a fast and efficient video mosaicing approach based on motion characteristics, which investigated two important issues affecting the quality of mosaic. First, given a video shot, a motion entropy based method is to determine whether the visual content of a shot is suited to be represented by a mosaic. Second, if so, a suitable subset of frames in this shot is selected for efficient and effective mosaicing by constructing a global motion path. Experiments compared to traditional mosaicing have proved that with this approach, not only the visual quality of mosaic is significantly improved, but also the computational time is remarkably reduced.