30 citations · 30 across the 2 of their papers we have counts for
2 papers
cs.MM2020★ 30 cited
SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning
Hanhe Lin, Vlad Hosu, Chunling Fan +4
The satisfied user ratio (SUR) curve for a lossy image compression scheme, e.g., JPEG, characterizes the complementary cumulative distribution function of the just noticeable diffe…
cs.MM2017
VideoSet: A Large-Scale Compressed Video Quality Dataset Based on JND Measurement
Haiqiang Wang, Ioannis Katsavounidis, Jiantong Zhou +11
A new methodology to measure coded image/video quality using the just-noticeable-difference (JND) idea was proposed. Several small JND-based image/video quality datasets were relea…