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Frame Rate and Perceptual Quality for HD Video

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9315))

Abstract

The frame rate (FR) of a video plays an important role in affecting the perceptual video quality. Most studies about the effect of FR on the video quality mainly focused on low frame rate, e.g. less than 30 frames per second (fps), at low resolutions like CIF or QCIF. As the video frame rate and resolution advance, we reconsider this issue and investigate the relationship between frame rate and the perceptual video quality under high frame rate and high resolution. In this paper, we discuss the impact of frame rate on the perceptual quality of High Definition (HD) video with high frame rates (up to 120 fps) considered. Firstly, we design and conduct subjective experiment to construct the video dataset, which includes video sequences at different frame rates and the corresponding mean opinion scores (MOS) which represent the perceptual video quality. Based on the MOS results, we analyze how perceptual video quality changes as frame rate varies among different video sequences and propose some meaningful findings. The video dataset will be made publicly available. We deem that this study will enrich video quality assessment and benefit the development of high frame rate and high definition video business.

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Acknowledgement

This work is supported by the Major State Basic Research Development Program of China (973 Program 2015CB351804), the National Science Foundation of China under Grants 61300110.

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Correspondence to Yutao Liu .

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© 2015 Springer International Publishing Switzerland

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Liu, Y., Zhai, G., Zhao, D., Liu, X. (2015). Frame Rate and Perceptual Quality for HD Video. In: Ho, YS., Sang, J., Ro, Y., Kim, J., Wu, F. (eds) Advances in Multimedia Information Processing -- PCM 2015. PCM 2015. Lecture Notes in Computer Science(), vol 9315. Springer, Cham. https://doi.org/10.1007/978-3-319-24078-7_50

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  • DOI: https://doi.org/10.1007/978-3-319-24078-7_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24077-0

  • Online ISBN: 978-3-319-24078-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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