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So economic analysis of soccer seems pointless.
Professional soccer teams, as well as the broadcasting media, have a deep interest in the analysis of soccer matches.
Moreover, Gibert et al. estimate the principal motion direction of every frame [32], while Xie et al. calculate the motion intensity at frame level [27], for realizing sport video classification and structural analysis of soccer video, respectively.
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The proposed framework of semantic analysis of a soccer video is shown in Figure 1.
Figure 1 The proposed framework of semantic analysis of a soccer video.
This paper presents an effective, novel and robust framework for semantic analysis of a soccer video possessing varying illumination conditions.
We propose a robust and efficient framework for semantic analysis of a soccer video possessing highly varying illumination conditions.
The effectiveness of our color segmentation method is assessed in the framework of soccer image analysis.
In [27], the Bayesian belief network has been used for the analysis of goal attack events of soccer videos.
A graphic representation is proposed by Ren et al. [13] to facilitate the analysis of temporal saliency in soccer videos.
We present the conceptual framework of a soccer win lose prediction system (SWLPS) focused on passing distribution data (which is a representative characteristic of soccer) using social network analysis (SNA) and gradient boosting (GB).
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