A new approach to retrieve video by example video clip

Xiaoming Liu, Yueting Zhuang, Yunhe Pan
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引用次数: 64

Abstract

The similarity measure between video clips is a key issue in video retrieval. In the developing of our video retrieval system, we propose a new video similarity model. In contrast to existing algorithms, it proposes many influencing factors, such as order factor, speed factor, disturbance factor, etc, based on the subjective visual judgement of human. So this algorithm embodies the degree of similarity completely and systematically. On the other hand, it has resolution adaptation because it can be applied to every level of video structure. In the retrieval system, it can be used to process video query by example clip. This paper introduces it in detail and presents experiment results at the end of the paper.
一种基于实例视频片段检索视频的新方法
视频片段之间的相似性度量是视频检索中的一个关键问题。在视频检索系统的开发过程中,提出了一种新的视频相似度模型。与现有算法相比,该算法基于人的主观视觉判断,提出了顺序因素、速度因素、干扰因素等诸多影响因素。因此该算法完整、系统地体现了相似度。另一方面,它具有分辨率适应性,可以应用于视频结构的各个层次。在检索系统中,它可用于对示例片段进行视频查询。本文对其进行了详细的介绍,并在文章的最后给出了实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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