视频序列中逻辑故事单元分割的评价

J. Vendrig, M. Worring
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引用次数: 7

摘要

我们给出了基于电影理论的几种现有逻辑故事单元分割方法的评估结果。评估了视频处理文献中已知的三种方法。在相同的情况下,6个不同的视频使用了前所未有的8小时来评估方法,以便提出公正的判断。由于逻辑故事单元不能完全确定地定义,引入了一种新的评估方法来衡量结果的经济影响。实验表明,所有方法的性能都比较合理。时间约束聚类是最有效、最一致的聚类方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of logical story unit segmentation in video sequences
We present results of an evaluation of several existing Logical Story Unit segmentation methods based on film theory. Three types of methods known from video processing literature were evaluated. An unprecedented amount of 8 hours for 6 different videos were used to evaluate the methods under the same circumstances so that an unbiased judgement is presented. As Logical Story Units cannot be defined with full certainty, a new evaluation method is introduced measuring the economic impact of results. Experiments show reasonable performance for all methods. Time constrained clustering is the most effective and consistent method.
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