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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | PSNR / SVM / Blind Estimation / H.264/AVC / Temporal Segmentation |
Paper # | ITS2014-47,IE2014-74 |
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Committee | ITS |
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Conference Date | 2015/2/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Intelligent Transport Systems Technology (ITS) |
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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 |
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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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