Presentation 2015-02-24
Blind PSNR Estimation of H.264/AVC Compressed Video using Spatio-Temporal Segmentation
Masahiro Wakabayashi, Jiro Katto, Naofumi Wada,
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Abstract(in English) In video coding, image quality degradation is inevitable due to quantization steps in the encoding process. We had proposed a blind type (no-reference type) PSNR estimation method which uses SVM and natural image statistics. In this paper, we apply a spatio-temporal segmentation method into the conventional method. As a result, we reveal that our method provides more stable results even when the conventional method fails, and can reduce an estimated error of PSNR.
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Keyword(in English) PSNR / SVM / Blind Estimation / H.264/AVC / Temporal Segmentation
Paper # ITS2014-47,IE2014-74
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Committee ITS
Conference Date 2015/2/16(1days)
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Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Blind PSNR Estimation of H.264/AVC Compressed Video using Spatio-Temporal Segmentation
Sub Title (in English)
Keyword(1) PSNR
Keyword(2) SVM
Keyword(3) Blind Estimation
Keyword(4) H.264/AVC
Keyword(5) Temporal Segmentation
1st Author's Name Masahiro Wakabayashi
1st Author's Affiliation School of Science and Engineering, Waseda University()
2nd Author's Name Jiro Katto
2nd Author's Affiliation School of Science and Engineering, Waseda University
3rd Author's Name Naofumi Wada
3rd Author's Affiliation SAMSUNG R&D Institute Japan
Date 2015-02-24
Paper # ITS2014-47,IE2014-74
Volume (vol) vol.114
Number (no) 459
Page pp.pp.-
#Pages 6
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