基于最接近特征线(NFL)的关键帧提取与镜头检索

Li Zhao, Wei-Song Qi, S. Li, Shiqiang Yang, HongJiang Zhang
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引用次数: 84

摘要

关键帧查询或视频示例查询是一种方便、有效的视频数据库查询方法。本文提出了一种支持此类搜索的新方法。该方法的主要贡献在于将特征提取和距离计算作为一个整体进行考虑。以特征空间中与特征点对应的关键帧表示的视频镜头为例,基于最近特征线(Nearest feature Line, NFL)的概念,定义了一个新的度量来度量查询图像与镜头之间的距离。我们建议使用视频镜头特征轨迹的“断点”作为关键帧,并使用经过这些点的线来表示镜头。当与NFL方法相结合时,可以获得更好的性能,实验证明了这一点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Key-frame extraction and shot retrieval using nearest feature line (NFL)
Query by key frame or video example is a convenient and often effective way to search in video database. This paper proposes a new approach to support such searches. The main contribution of the proposed approach is the consideration of both feature extraction and distance computation as a whole process. With a video shot represented by key-frames corresponding to feature points in a feature space, a new metric is defined to measure the distance between a query image and a shot based on the concept of Nearest Feature Line (NFL). We propose to use the “breakpoints” of feature trajectory of a video shot as the key frames and use the lines passing through these points to represent the shot. When combined with the NFL method, it helps to achieve a better performance, as evidenced by experiments.
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