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2010

Content-weighted video quality assessment using a three-component image model

9 years 2 months ago
Content-weighted video quality assessment using a three-component image model
Abstract. Objective image and video quality measures play important roles in numerous image and video processing applications. In this work, we propose a new content-weighted method for fullreference (FR) video quality assessment using a three-component image model. Using the idea that different image regions have different perceptual significance relative to quality, we deploy a model that classifies image local regions according to their image gradient properties, then apply variable weights to structural similarity image index (SSIM) [and peak signal-to-noise ratio (PSNR)] scores according to region. A frame-based video quality assessment algorithm is thereby derived. Experimental results on the Video Quality Experts Group (VQEG) FR-TV Phase 1 test dataset show that the proposed algorithm outperforms existing video quality assessment
Chaofeng Li, Alan Conrad Bovik
Added 28 Jan 2011
Updated 28 Jan 2011
Type Journal
Year 2010
Where JEI
Authors Chaofeng Li, Alan Conrad Bovik
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