Evaluation of Video Compression Methods for Network Transmission on Diverse Data: A Case Study

PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2023(2023)

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摘要
There is a variety of video compression methods proposed in the literature. Choosing the best method for a specific type of video can involve a lot of experimentation and trial-and-error. This paper offers a quantitative evaluation of three popular compression methods, namely HEVC, MJPEG, MJPEG2000. Our evaluation uses five different types of video data that are commonly transmitted over a network. We use two evaluation metrics, namely PSNR and encoding time. While our evaluation is still preliminary, and will eventually be expanded to include more compression methods, larger datasets, and more metrics, it already includes features not encountered in evaluations that have appeared in prior literature. Even in its current form, to the best of our knowledge, our evaluation is the first one to evaluate both PSNR and encoding time, of both inter-frame and intra-frame codecs, on both natural and synthetic videos.
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关键词
video compression,compression ratio,peak signal-to-noise ratio,encoding time
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