Zobrazeno 1 - 10
of 475
pro vyhledávání: '"Fan, Yibo"'
Autor:
Smirnov, Maksim, Gushchin, Aleksandr, Antsiferova, Anastasia, Vatolin, Dmitry, Timofte, Radu, Jia, Ziheng, Zhang, Zicheng, Sun, Wei, Qian, Jiaying, Cao, Yuqin, Sun, Yinan, Zhu, Yuxin, Min, Xiongkuo, Zhai, Guangtao, De, Kanjar, Luo, Qing, Zhang, Ao-Xiang, Zhang, Peng, Lei, Haibo, Jiang, Linyan, Li, Yaqing, Meng, Wenhui, Tan, Xiaoheng, Wang, Haiqiang, Xu, Xiaozhong, Liu, Shan, Chen, Zhenzhong, Cheng, Zhengxue, Xiao, Jiahao, Xu, Jun, He, Chenlong, Zheng, Qi, Zhu, Ruoxi, Li, Min, Fan, Yibo, Tu, Zhengzhong
Video quality assessment (VQA) is a crucial task in the development of video compression standards, as it directly impacts the viewer experience. This paper presents the results of the Compressed Video Quality Assessment challenge, held in conjunctio
Externí odkaz:
http://arxiv.org/abs/2408.11982
Learned image compression (LIC) is becoming more and more popular these years with its high efficiency and outstanding compression quality. Still, the practicality against modified inputs added with specific noise could not be ignored. White-box atta
Externí odkaz:
http://arxiv.org/abs/2401.10345
Autor:
Zan, Zhao, Huang, Leilei, Chen, ShuShi, Zhang, Xiantao, Zhao, Zhenghui, Yin, Haibing, Fan, Yibo
Versatile Video Coding (VVC) has significantly increased encoding efficiency at the expense of numerous complex coding tools, particularly the flexible Quad-Tree plus Multi-type Tree (QTMT) block partition. This paper proposes a deep learning-based a
Externí odkaz:
http://arxiv.org/abs/2304.03076
Versatile Video Coding (VVC) introduces more coding tools to improve compression efficiency compared to its predecessor High Efficiency Video Coding (HEVC). For inter-frame coding, Fractional Motion Estimation (FME) still has a high computational eff
Externí odkaz:
http://arxiv.org/abs/2302.06167
For large-scale still image coding tasks, the processing platform needs to ensure that the coded images meet the quality requirement. Therefore, the quality control algorithms that generate adaptive QP towards a target quality level for image coding
Externí odkaz:
http://arxiv.org/abs/2210.00821
Publikováno v:
In Journal of Magnetism and Magnetic Materials 15 September 2024 606
Video quality assessment (VQA) remains an important and challenging problem that affects many applications at the widest scales. Recent advances in mobile devices and cloud computing techniques have made it possible to capture, process, and share hig
Externí odkaz:
http://arxiv.org/abs/2201.01492
Learned image compression techniques have achieved considerable development in recent years. In this paper, we find that the performance bottleneck lies in the use of a single hyperprior decoder, in which case the ternary Gaussian model collapses to
Externí odkaz:
http://arxiv.org/abs/2111.00485
In this paper, we propose a learned video codec with a residual prediction network (RP-Net) and a feature-aided loop filter (LF-Net). For the RP-Net, we exploit the residual of previous multiple frames to further eliminate the redundancy of the curre
Externí odkaz:
http://arxiv.org/abs/2108.08551
Most deep network methods for compressive sensing reconstruction suffer from the black-box characteristic of DNN. In this paper, a deep neural network with interpretable motion estimation named CSMCNet is proposed. The network is able to realize high
Externí odkaz:
http://arxiv.org/abs/2108.01522