以拉力赛场景为重点的基于球场的排球视频总结

Takahiro Itazuri, Tsukasa Fukusato, Shugo Yamaguchi, S. Morishima
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引用次数: 5

摘要

本文提出了一种针对排球视频的视频摘要系统。我们的系统自动检测拉力赛场景作为自消费视频片段,并评估每个拉力赛场景的拉力赛排名来决定优先级。在优先级决策中,代表游戏内容的功能是必要的;然而,在大多数以前的方法中没有考虑到这些特征。虽然应该使用一些视觉特征,如球和球员的位置,但在低分辨率或低帧率排球视频中,这些特征的获取仍然是非鲁棒的和不可靠的。相反,我们利用摄像机操作产生的球场过渡信息。实验结果证明了我们的拉力赛场景检测的鲁棒性,以及我们的拉力赛排名比以前的方法更能反映观众的偏好。
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Court-Based Volleyball Video Summarization Focusing on Rally Scene
In this paper, we propose a video summarization system for volleyball videos. Our system automatically detects rally scenes as self-consumable video segments and evaluates rally-rank for each rally scene to decide priority. In the priority decision, features representing the contents of the game are necessary; however such features have not been considered in most previous methods. Although several visual features such as the position of a ball and players should be used, acquisition of such features is still non-robust and unreliable in low resolution or low frame rate volleyball videos. Instead, we utilize the court transition information caused by camera operation. Experimental results demonstrate the robustness of our rally scene detection and the effectiveness of our rally-rank to reflect viewers' preferences over previous methods.
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