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Journal of Electronic Imaging

Video quality assessment using content-weighted spatial and temporal pooling method
Author(s): Chaofeng Li; Feng Pan; Xiaojun Wu; Yiwen Ju; Yun-Hao Yuan; Wei Fang
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Paper Abstract

Video quality assessment plays an important role in video processing and communication applications. We propose a full reference video quality metric by combining a content-weighted spatial pooling strategy with a temporal pooling strategy. All pixels in a frame are classified into edge, texture, and smooth regions, and their structural similarity image index (SSIM) maps are divided into increasing and saturated regions by the curve of their SSIM values, then a content weight method is applied to increasing regions to get the score of an image frame. Finally, a temporal pooling method is used to get the overall video quality. Experimental results on the LIVE and IVP video quality databases show our proposed method works well in matching subjective scores.

Paper Details

Date Published: 1 September 2015
PDF: 11 pages
J. Electron. Imaging. 24(5) 053001 doi: 10.1117/1.JEI.24.5.053001
Published in: Journal of Electronic Imaging Volume 24, Issue 5
Show Author Affiliations
Chaofeng Li, Univ. of Chinese Academy of Sciences (China)
Jiangnan Univ. (China)
Feng Pan, Jiangnan Univ. (China)
Xiaojun Wu, Jiangnan Univ. (China)
Yiwen Ju, Univ. of Chinese Academy of Sciences (China)
Yun-Hao Yuan, Jiangnan Univ. (China)
Wei Fang, Jiangnan Univ. (China)


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