Presentation | 2013-02-19 Region Adaptive Blind PSNR Estimation based on Spatial Frequency Characteristics Takahiro KUMEKAWA, Jiro KATTO, Naofumi WADA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | PSNR needs original pictures, but this is difficult for CGM contents like YouTube. Therefore, we had developed a blind PSNR estimation method in which multiple SVMs are prepared to learn differently encoded images in PSNR. We also tried a method which divides a frame into two regions by using. Saliency Map to estimate PSNR per region. However, this approach sometimes fails because it always tries to extract salient regions in a relative manner even if images are totally flat. Therefore, in this paper, we consider a method which uses AC levels of local small regions to separate input images instead of Saliency Map. Then, we confirm our method provides more stable results even when the previous method fails. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Blind PSNR Estimation / Saliency Map / AC levels / SVM |
Paper # | ITS2012-55,IE2012-135 |
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Committee | IE |
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Conference Date | 2013/2/11(1days) |
Place (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) | Region Adaptive Blind PSNR Estimation based on Spatial Frequency Characteristics |
Sub Title (in English) | |
Keyword(1) | Blind PSNR Estimation |
Keyword(2) | Saliency Map |
Keyword(3) | AC levels |
Keyword(4) | SVM |
1st Author's Name | Takahiro KUMEKAWA |
1st Author's Affiliation | Graduate School of Fundamental Science and Engineering, Waseda University() |
2nd Author's Name | Jiro KATTO |
2nd Author's Affiliation | Graduate School of Fundamental Science and Engineering, Waseda University |
3rd Author's Name | Naofumi WADA |
3rd Author's Affiliation | Samsung Yokohama Research Institute Sapporo Branch |
Date | 2013-02-19 |
Paper # | ITS2012-55,IE2012-135 |
Volume (vol) | vol.112 |
Number (no) | 434 |
Page | pp.pp.- |
#Pages | 6 |
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