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pro vyhledávání: '"Pastor, Andreas"'
Autor:
Fela, Randy F, Pastor, Andréas, Callet, Patrick Le, Zacharov, Nick, Vigier, Toinon, Forchhammer, Søren
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 dataset consists of high-quality 360 video clips in equirectangular (
Externí odkaz:
http://arxiv.org/abs/2205.08007
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
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
Akademický článek
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Autor:
Pastor, Andreas, Le Callet, Patrick
Modern systems are multimodal (e.g., video, audio, smell), and haptic feedback provides the user with additional entertainment and sensory immersion. Standard recommendation groups extensively studied and focused on video and audio subjective quality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::74982c709d77829b7d2feacf30c9875c
https://hal.science/hal-04132004
https://hal.science/hal-04132004
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP)
2022 IEEE International Conference on Image Processing (ICIP), Oct 2022, Bordeaux, France. pp.4013-4017, ⟨10.1109/ICIP46576.2022.9897469⟩
2022 IEEE International Conference on Image Processing (ICIP), Oct 2022, Bordeaux, France. pp.4013-4017, ⟨10.1109/ICIP46576.2022.9897469⟩
International audience; VMAF is a popular objective quality metric used for video quality evaluation. The power of VMAF has been demonstrated for a wide variety of video scales and encoding processes. However, its ability to evaluate the quality of s
Publikováno v:
In Meta Learning With Medical Imaging and Health Informatics Applications 2023:275-299
Akademický článek
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Autor:
Amatriain, Xavier, Balaji, Yogesh, Bekiranov, Stefan, Belagiannis, Vasileios, Benyoussef, Anas-Alexis, Carneiro, Gustavo, Chablani, Manish, Chen, Cheng, Cho, Hyun Jae, Chou, Jingyuan, Cochener, Béatrice, Conze, Pierre-Henri, Dawoud, Youssef, Do, Thanh-Toan, Dou, Qi, Farshad, Azade, Fu, Chi-Wing, Guha Roy, Abhijit, Guo, Pengfei, Heng, Pheng-Ann, Hoang, Hieu, Jiang, Shanshan, Jin, Yueming, Kannan, Anitha, Kim, Jieum, Lamard, Mathieu, Le, Ngan, Le Callet, Patrick, Le Guilcher, Alexandre, Li, Xiaomeng, Ling, Suiyi, Liu, Quande, Massin, Pascale, Matta, Sarah, Mobiny, Aryan, Nascimento, Jacinto C., Navab, Nassir, Nguyen, Cuong C., Nguyen, Hien Van, Pastor, Andreas, Patel, Vishal M., Paul, Angshuman, Pölsterl, Sebastian, Prabhu, Viraj, Quellec, Gwenolé, Ravuri, Murali, Ricquebourg, Vincent, Rottier, Jean-Bernard, Sankaranarayanan, Swami, Shen, Thomas C., Siddiqui, Shayan, Sontag, David, Summers, Ronald M., Suo, Qiuling, Tang, Yu-Xing, Tran, Minh-Triet, Vo-Ho, Viet-Khoa, Wachinger, Christian, Wang, Puyang, Xing, Lei, Yamazaki, Kashu, Yeganeh, Yousef, Yu, Lequan, Yuan, Pengyu, Zang, Chongzhi, Zhang, Aidong, Zhou, Jinyuan
Publikováno v:
In Meta Learning With Medical Imaging and Health Informatics Applications 2023:xv-xix