Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Ling, Suiyi"'
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 industries, it is commonly applied to reach a good balance between compression
Externí odkaz:
http://arxiv.org/abs/2205.07565
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 observers about the varied types of content. There is a growing interes
Externí odkaz:
http://arxiv.org/abs/2110.06956
The prevalence of employing attention mechanisms has brought along concerns on the interpretability of attention distributions. Although it provides insights about how a model is operating, utilizing attention as the explanation of model predictions
Externí odkaz:
http://arxiv.org/abs/2106.02566
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 as `haptic glance' in cognitive neuroscience. Most of the existing 3D r
Externí odkaz:
http://arxiv.org/abs/2102.07599
Autor:
Wen, Shaoguo, Ling, Suiyi, Wang, Junle, Chen, Ximing, Fang, Lizhi, Jing, Yanqing, Callet, Patrick Le
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 quality of experience is also growing swiftly. As most of the existing re
Externí odkaz:
http://arxiv.org/abs/2103.05099
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 important for the gaming industry. Depending on the diverse needs of di
Externí odkaz:
http://arxiv.org/abs/2101.11700
Autor:
Riou, Kevin, Zhu, Jingwen, Ling, Suiyi, Piquet, Mathis, Truffault, Vincent, Callet, Patrick Le
Confinement during COVID-19 has caused serious effects on agriculture all over the world. As one of the efficient solutions, mechanical harvest/auto-harvest that is based on object detection and robotic harvester becomes an urgent need. Within the au
Externí odkaz:
http://arxiv.org/abs/2011.02719
The development of rigorous quality assessment model relies on the collection of reliable subjective data, where the perceived quality of visual multimedia is rated by the human observers. Different subjective assessment protocols can be used accordi
Externí odkaz:
http://arxiv.org/abs/2010.00370
In the big data era, data labeling can be obtained through crowdsourcing. Nevertheless, the obtained labels are generally noisy, unreliable or even adversarial. In this paper, we propose a probabilistic graphical annotation model to infer the underly
Externí odkaz:
http://arxiv.org/abs/2003.00475
Autor:
Ling, Suiyi
Ce travail vise à mieux évaluer la qualité perceptuelle des images contenant des distorsions structurelles et géométriques notamment dans le contexte de médias immersifs. Nous proposons et explorons un cadre algorithmique hiérarchique de la pe
Externí odkaz:
http://www.theses.fr/2018NANT4061/document