@inproceedings{e19948055b05454698ecea0a3d06846f,
title = "Objective quality assessment of screen content images by structure information",
abstract = "In this paper, we propose a novel full-reference objective quality assessment metric of screen content images by structure information. The input screen content image is first divided into textual and pictorial regions. The visual quality of textual regions is predicted based on perceptual structural similarity, where the gradient information is used as the feature. To estimate the visual quality of pictorial regions, we extract the luminance and structure features as feature representation. The overall quality of the screen content image is measured by fusing those of textual and pictorial parts. Experimental results show that the proposed method can obtain better performance of visual quality prediction of SCIs than other existing ones.",
keywords = "Full-reference quality assessment, Screen content image, Visual quality assessment",
author = "Yuming Fang and Jiebin Yan and Jiaying Liu and Shiqi Wang and Qiaohong Li and Zongming Guo",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 17th Pacific-Rim Conference on Multimedia, PCM 2016 ; Conference date: 15-09-2016 Through 16-09-2016",
year = "2016",
doi = "10.1007/978-3-319-48896-7\_60",
language = "英语",
isbn = "9783319488950",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "609--616",
editor = "Enqing Chen and Yun Tie and Yihong Gong",
booktitle = "Advances in Multimedia Information Processing – 17th Pacific-Rim Conference on Multimedia, PCM 2016, Proceedings",
address = "德国",
}