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Paper Abstract and Keywords
Presentation 2014-02-18 13:50
PSNR Prediction of H.264/AVC Compressed Video using Image Analysis
Masahiro Wakabayashi, Takahiro Kumekawa, Jiro Katto (Waseda Univ.), Naofumi Wada (SRJ)
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) PSNR / SVM / Blind Estimation / H.264/AVC / Region Segmentation / / /  
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Conference Information
Committee IEICE-ITS IEICE-IE AIT HI ME  
Conference Date 2014-02-17 - 2014-02-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ITS Image Processing, etc. 
Paper Information
Registration To IEICE-IE 
Conference Code 2014-02-ITS-IE-AIT-HI-ME 
Language Japanese 
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  
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1st Author's Name Masahiro Wakabayashi  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Takahiro Kumekawa  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Jiro Katto  
3rd Author's Affiliation Waseda University (Waseda Univ.)
4th Author's Name Naofumi Wada  
4th Author's Affiliation Samsung R&D Institute Japan (SRJ)
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Speaker Author-1 
Date Time 2014-02-18 13:50:00 
Presentation Time 15 minutes 
Registration for IEICE-IE 
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Volume (vol) vol.38 
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