一种新的基于图分割的体育视频背景分割算法

Zhan Jia-Wen
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引用次数: 1

摘要

本文提出了一种基于图分割的体育视频背景分割算法,该算法在多媒体处理和检索中具有重要意义。首先,我们阐述了图的划分问题,该问题的目的是在一定的约束条件下将一个图分成若干部分。在此基础上,定义了图划分问题中的代价函数。其次,提出了基于图分割的体育视频背景分割算法。本文的主要创新点在于引入了图分割算法,将图像分割问题转化为能量最小化问题。最后,利用奥林匹克运动数据集(Olympic Sports Dataset)进行实验进行性能评价。实验结果表明,与现有方法相比,我们的算法可以实现高质量的体育视频背景分割。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Sports Video Background Segmentation Algorithm Based on Graph Partition
In this paper, we propose a novel sports video background segmentation algorithm based on graph partition, and this topic is very important in multimedia processing and retrieval. Firstly, we illustrate the graph partition problem, which aims to divide a graph into several parts under some constraints. Furthermore, a cost function in the graph partition problem is defined. Secondly, sports video background segmentation algorithm based on graph partition is provided. Particularly, the main innovation of this paper lies in that we introduce the graph partition algorithm, and we convert the image segmentation problem to an energy minimization problem. In the end, experiments are conducted to make performance evaluation, and the Olympic Sports Dataset is used. Experimental results show that compared with existing methods, our algorithm can achieve high quality of sports video background segmentation.
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