Formulating Team-Sport Video Summarization as a Resource Allocation Problem
Formulating Team-Sport Video Summarization as a Resource Allocation Problem
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DOI：
10.1109/tcsvt.2011.2106271
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发表时间：
2011-02
影响因子：
8.4
通讯作者：
Fan Chen;C. Vleeschouwer
中科院分区：
文献类型：
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作者：
Fan Chen;C. Vleeschouwer
我们提出了一个灵活的框架，以总结团队运动视频，最初制作的广播目的。该框架能够集成关于所显示内容的知识（例如，兴趣水平、视图类型等）以及用户的个人（叙述）偏好。它建立在将原始视频序列划分为独立片段的基础上，并通过考虑多种方式渲染每个片段来创建本地故事。我们讨论了如何自动分割视频的生产原则的基础上，并设计参数函数来评估从一个片段的各种本地故事的好处。通过选择本地故事的总结，然后被视为一个资源分配问题，并进行拉格朗日松弛，以找到最优。我们调查我们的框架的效率，总结足球，篮球和排球视频在我们的实验。
We propose a flexible framework to summarize team-sport videos that have been originally produced for broadcast purposes. The framework is able to integrate both the knowledge about displayed content (e.g., level of interest, type of view, and so on), and the individual (narrative) preferences of the user. It builds on the partition of the original video sequence into independent segments, and creates local stories by considering multiple ways to render each segment. We discuss how to segment videos automatically based on production principles, and design parametric functions to evaluate the benefit of various local stories from a segment. Summarization by selection of local stories is then regarded as a resource allocation problem, and Lagrangian relaxation is performed to find the optimum. We investigate the efficiency of our framework by summarizing soccer, basketball and volleyball videos in our experiments.