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.