Detecting Video Shot Boundaries by Modified Tomography

Jina Varghese, K. N. Nair
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引用次数: 3

Abstract

Videos are large volume objects. They are used for variety of applications in our day-to-day life. Manual operations on video are inconvenient. Hence an automatic system is required to analyse the video content. The first and most important step in any video processing application is shot boundary detection. We propose a novel and very simple approach for Shot Boundary Detection (SBD). This work has lesser complexity compared to existing methods. We use a technique called Computed Tomography for SBD. The method can be applied to any type of videos such as home, surveillance, sports or entertainment videos. The result of our work shows the excellence of the technique in SBD.
基于改进断层扫描的视频镜头边界检测
视频是大容量对象。它们在我们的日常生活中有各种各样的应用。手动操作视频不方便。因此,需要一个自动系统来分析视频内容。在任何视频处理应用中,第一步也是最重要的一步是镜头边界检测。我们提出了一种新颖且非常简单的镜头边界检测方法。与现有方法相比,这项工作的复杂性较低。我们使用一种叫做计算机断层扫描的技术来治疗SBD。该方法可以应用于任何类型的视频,如家庭、监控、体育或娱乐视频。我们的工作结果显示了该技术在SBD中的优越性。
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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