인간의 시각적 특성을 이용한 동영상 품질 측정 방식

Video Quality Assessment based on Human Visual Characteristics

  • 박진철 (연세대학교 전기전자공학부) ;
  • 이광현 (연세대학교 전기전자공학부) ;
  • 이상훈 (연세대학교 전기전자공학부)
  • Park, Jin-Cheol (School of Electrical and Electronic Engineering Yonsei University) ;
  • Lee, Kwang-Hyun (School of Electrical and Electronic Engineering Yonsei University) ;
  • Lee, Sang-Hoon (School of Electrical and Electronic Engineering Yonsei University)
  • 발행 : 2008.06.18

초록

In the present paper, a new framework, which is called visual SSIM (VSSIM), is proposed by incorporating crucial human factors into the SSIM. The human factors are foveation, luminance, frequency and motion information. Subjective quality test compliant with the Video Quality Expert Group (VQEG) multimedia group test plan shows that the visual SSIM is more correlated with the subjective quality result than the conventional SSIM.

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