Video quality assessment using content-weighted spatial and temporal pooling method

Chaofeng Li; Feng Pan; Xiaojun Wu; Yiwen Ju; Yun-Hao Yuan; Wei Fang

doi:10.1117/1.JEI.24.5.053001

1 September 2015 Video quality assessment using content-weighted spatial and temporal pooling method

Chaofeng Li, Feng Pan, Xiaojun Wu, Yiwen Ju, Yun-Hao Yuan, Wei Fang

Author Affiliations +

Journal of Electronic Imaging, Vol. 24, Issue 5, 053001 (September 2015). https://doi.org/10.1117/1.JEI.24.5.053001

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.

Citation Download Citation

Chaofeng Li, Feng Pan, Xiaojun Wu, Yiwen Ju, Yun-Hao Yuan, and Wei Fang "Video quality assessment using content-weighted spatial and temporal pooling method," Journal of Electronic Imaging 24(5), 053001 (1 September 2015). https://doi.org/10.1117/1.JEI.24.5.053001

Published: 1 September 2015

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