基于关键帧提取的模糊视频摘要

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI:10.1109/NCVPRIPG.2013.6776235

Aditi Kapoor, K. K. Biswas, M. Hanmandlu

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引用次数: 1

摘要

本文提出了一种基于关键帧的视频总结方法。我们将基于直方图和像素差的方法改进为基于模糊规则的方法，并提出了一种减少帧间差计算的新方法。我们使用来自YouTube和UCF体育数据集的体育视频、商业视频和情景喜剧视频的保真度比和压缩比来测试我们的方法。我们的方法的结果被认为可以与其他最先进的方法相媲美。

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Fuzzy video summarization using key frame extraction

In this paper we propose to summarize videos based on key frames. We improve upon the histogram and pixel difference based approach with fuzzy rule based approach and also give a new approach which reduces the computation of framewise differences. We test our methods using fidelity ratio and compression ratio on videos of sports from YouTube and UCF sports dataset, videos of commercials and sitcoms. The results of our methods are seen to be comparable to other state of the art approaches.

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2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)

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