使用字幕的视频剪辑摘要

Eleesa Anil, Sherine Sebastian, Janice Johnson, Janhavi S Rane, K. Karunakaran
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摘要

由于高速互联网世界的不断发展,视频已经成为网络上常见的信息媒介。当我们想要获得从教育话题到娱乐的任何信息时,我们更喜欢看视频而不是阅读长段落。随着互联网上各种各样的视频的出现,我们很难找到适合我们需要的内容。人们最终会把时间浪费在寻找一个好的视频上,而不是花在视频需要做的实际工作上。视频内容是我们今天信息来源的重要组成部分,有必要有一个系统,使用户能够理解视频的要点,而不是不得不坐着看几个小时的内容,却发现没有任何有用的东西。本文的主要目标是提出一种方法,通过使用各种NLP算法(如Textrank, LexRank和LSA(Latent Semantic Analysis)),以简洁的格式仅包含必要和重要的信息来创建视频摘要。
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Summarization of Video Clips using Subtitles
Due to the ever growing world of high speed internet, videos have become a common medium for information on the web. When we want to gain information about anything from educational topics to entertainment we prefer watching videos instead of reading long paragraphs. With the vast diversity of videos available on the internet today on every single topic possible it gets confusing to find the right content for our needs. People end up wasting time on trying to find a good video instead of on the actual work the video is needed for. Video content being such a big part of our information source today it is necessary to have a system that will enable users to understand a gist of the video instead of having to sit through hours of content just to find nothing useful. The primary objective of this given paper is to propose a method to create a video summary in a way that it contains only the necessary and important information in a concise format by using various NLP algorithms such as Textrank, LexRank and LSA(Latent Semantic Analysis).
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