22 citations · 72 across the 18 of their papers we have counts for
21 papers
A Framework to Map VMAF with the Probability of Just Noticeable Difference between Video Encoding Recipes
Jingwen Zhu, Suiyi Ling, Yoann Baveye +1
Just Noticeable Difference (JND) model developed based on Human Vision System (HVS) through subjective studies is valuable for many multimedia use cases. In the streaming industrie…
Perceptual Evaluation on Audio-visual Dataset of 360 Content
Randy F Fela, Andréas Pastor, Patrick Le Callet +3
To open up new possibilities to assess the multimodal perceptual quality of omnidirectional media formats, we proposed a novel open source 360 audiovisual (AV) quality dataset. The…
Utility-Oriented Underwater Image Quality Assessment Based on Transfer Learning
Weiling Chen, Rongfu Lin, Honggang Liao +3
The widespread image applications have greatly promoted the vision-based tasks, in which the Image Quality Assessment (IQA) technique has become an increasingly significant issue.…
Improving Maximum Likelihood Difference Scaling method to measure inter content scale
Pastor Andréas, Lukáš Krasula, Xiaoqing Zhu +2
The goal of most subjective studies is to place a set of stimuli on a perceptual scale. This is mostly done directly by rating, e.g. using single or double stimulus methodologies,…
Considering user agreement in learning to predict the aesthetic quality
Suiyi Ling, Andreas Pastor, Junle Wang +1
How to robustly rank the aesthetic quality of given images has been a long-standing ill-posed topic. Such challenge stems mainly from the diverse subjective opinions of different o…
Subjective and Objective Quality Assessment of Mobile Gaming Video
Shaoguo Wen, Suiyi Ling, Junle Wang +4
Nowadays, with the vigorous expansion and development of gaming video streaming techniques and services, the expectation of users, especially the mobile phone users, for higher qua…