| Presentation | 2014-02-18 PSNR Prediction of H.264/AVC Compressed Video using Image Analysis Masahiro Wakabayashi, Takahiro Kumekawa, Jiro Katto, Naofumi Wada, |
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| PDF Download Page |  PDF download Page Link |
| 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, as an application of the blind PSNR estimation, we propose a method to predict PSNRs of video sequences before applying video compression by using image features of the original video sequences. As a result, we reveal that we can predict sufficient PSNRs for more than 80% frames within 5dB prediction errors. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | PSNR / SVM / Blind Estimation / H.264/AVC / Region Segmentation |
| Paper # | ITS2013-62,IE2013-127 |
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| Conference Information | |
| Committee | IE |
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| Conference Date | 2014/2/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Image Engineering (IE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | PSNR Prediction of H.264/AVC Compressed Video using Image Analysis |
| Sub Title (in English) | |
| Keyword(1) | PSNR |
| Keyword(2) | SVM |
| Keyword(3) | Blind Estimation |
| Keyword(4) | H.264/AVC |
| Keyword(5) | Region Segmentation |
| 1st Author's Name | Masahiro Wakabayashi |
| 1st Author's Affiliation | School of Science and Engineering, Waseda University() |
| 2nd Author's Name | Takahiro Kumekawa |
| 2nd Author's Affiliation | School of Science and Engineering, Waseda University |
| 3rd Author's Name | Jiro Katto |
| 3rd Author's Affiliation | School of Science and Engineering, Waseda University |
| 4th Author's Name | Naofumi Wada |
| 4th Author's Affiliation | SAMSUNG R&D Institute Japan |
| Date | 2014-02-18 |
| Paper # | ITS2013-62,IE2013-127 |
| Volume (vol) | vol.113 |
| Number (no) | 434 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |