Motion tuned spatio-temporal quality assessment of natural videos
IEEE Transactions on Image Processing
Study of subjective and objective quality assessment of video
IEEE Transactions on Image Processing
Perceptual visual quality metrics: A survey
Journal of Visual Communication and Image Representation
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Image information and visual quality
IEEE Transactions on Image Processing
Hypercomplex Fourier Transforms of Color Images
IEEE Transactions on Image Processing
Wireless Video Quality Assessment: A Study of Subjective Scores and Objective Algorithms
IEEE Transactions on Circuits and Systems for Video Technology
Efficient Video Quality Assessment Along Temporal Trajectories
IEEE Transactions on Circuits and Systems for Video Technology
Information Content Weighting for Perceptual Image Quality Assessment
IEEE Transactions on Image Processing
FSIM: A Feature Similarity Index for Image Quality Assessment
IEEE Transactions on Image Processing
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Video quality assessment (VQA) is very important in many video processing applications. For example, the rate-distortion (RD) optimization in video coding needs an efficient distortion metric to assess the RD cost of candidate coding parameters. However, most existing metrics employ little visual perceptual information, or some are too complex to meet real-time requirement. In this paper we propose a new model called saliency and distortion weighted structural similarity index with temporal pooling strategy (SDTW-SSIM). In the proposed model, spatial and temporal saliency is obtained from the referenced video. Besides, a distortion weighting map is employed to give a full description of visual attention. To better present the perceptual properties of videos, both frame and sequence level saliency features are taken into account. Experimental results show that, compared with state-of-the-art methods, the proposed method performs well on both computational efficiency and assessment accuracy.