一种新的广播新闻视频镜头边界检测与分割算法

2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI:10.1109/ComPE49325.2020.9200047

Pranabjyoti Haloi, M. Bhuyan, Pooja Rani Borah, Dibyajyoti Chatterjee

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引用次数: 3

摘要

新闻视频是一种重要的信息传递手段。但是，一个特定频道每天播出的新闻数量非常大，考虑到新闻频道的数量，每天传递的信息量是巨大的。在这种情况下，新闻视频的分类对于建立一个分类良好的新闻视频数据库起着非常重要的作用。广播新闻视频片段分割是视频分类的重要环节之一。本文提出了一种新的算法，可以有效地检测新闻视频的镜头边界并进行相应的镜头分割。该算法根据输入的新闻视频进行自适应，具有独立于新闻频道的特点。

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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A Novel Algorithm for Shot Boundary Detection and Segmentation of Broadcast News Videos

News videos are an important means of conveying information. But the number of news broadcasted each day in a particular channel is very large and considering the number of news channels, it is a huge amount of information conveyed each day. Sorting of news videos plays a very important role in such cases to create a well-categorized database of news videos. Broadcast news video shot segmentation is one of the vital parts of sorting. This paper presents a novel algorithm that can detect the shot boundaries of news videos efficiently and perform shot segmentation accordingly. The algorithm adapts itself according to the input news video and hence is news channel independent.

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2020 International Conference on Computational Performance Evaluation (ComPE)

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