22 citations · 72 across the 18 of their papers we have counts for
5 papers · 1 filter
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…
Seeing by haptic glance: reinforcement learning-based 3D object Recognition
Kevin Riou, Suiyi Ling, Guillaume Gallot +1
Human is able to conduct 3D recognition by a limited number of haptic contacts between the target object and his/her fingers without seeing the object. This capability is defined a…
Multi-Modal Aesthetic Assessment for MObile Gaming Image
Zhenyu Lei, Yejing Xie, Suiyi Ling +3
With the proliferation of various gaming technology, services, game styles, and platforms, multi-dimensional aesthetic assessment of the gaming contents is becoming more and more i…
Ambiguity of Objective Image Quality Metrics: A New Methodology for Performance Evaluation
Manri Cheon, Toinon Vigier, Lukáš Krasula +3
Objective image quality metrics try to estimate the perceptual quality of the given image by considering the characteristics of the human visual system. However, it is possible tha…