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Paper Abstract and Keywords
Presentation 2013-02-19 14:20
Region Adaptive Blind PSNR Estimation based on Spatial Frequency Characteristics
Takahiro Kumekawa, Jiro Katto (Waseda Univ.), Naofumi Wada (SAMSUNG)
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) Blind PSNR Estimation / Saliency Map / AC levels / SVM / / / /  
Reference Info. ITE Tech. Rep.
Paper #  
Date of Issue  
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Conference Date 2013-02-18 - 2013-02-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ITS Image Processsing, Image Medium, Vision, etc. 
Paper Information
Registration To IEICE-IE 
Conference Code 2013-02-ITS-IE-AIT-HI-ME 
Language Japanese 
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 Waseda University (Waseda Univ.)
2nd Author's Name Jiro Katto  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Naofumi Wada  
3rd Author's Affiliation Samsung Yokohama Research Institute (SAMSUNG)
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Date Time 2013-02-19 14:20:00 
Presentation Time 20 
Registration for IEICE-IE 
Paper #  
Volume (vol) ITE-37 
Number (no)  
#Pages ITE- 
Date of Issue  

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