Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Chuanmin Jia"'
Publikováno v:
Dianxin kexue, Vol 35, Pp 32-42 (2019)
Deep neural networks have achieved tremendous success in artificial intelligence,which makes the broad and in-depth research of neural network resurge in recent years.Recently,the neural network based image and video coding has become one of the fron
Externí odkaz:
https://doaj.org/article/93d8eb0f0eb843cda45fdd9b0bf3a99c
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:7077-7091
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:7092-7106
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:6385-6399
Publikováno v:
2023 Data Compression Conference (DCC).
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 18:1-22
Recently, deep learning for video coding, such as deep predictive coding, deep transform coding, and deep in-loop filtering, has been an emerging research area. The coding gain of hybrid coding framework could be extensively promoted by the data-driv
Publikováno v:
IEEE Transactions on Image Processing. 31:7222-7236
In-loop filters have attracted increasing attention due to the remarkable noise-reduction capability in the hybrid video coding framework. However, the existing in-loop filters in Versatile Video Coding (VVC) mainly take advantage of the image local
Publikováno v:
IEEE Transactions on Multimedia. :1-15
Publikováno v:
IEEE Transactions on Image Processing. 31:30-42
Geometric partitioning has attracted increasing attention by its remarkable motion field description capability in the hybrid video coding framework. However, the existing geometric partitioning (GEO) scheme in Versatile Video Coding (VVC) causes a n
Publikováno v:
Computer Vision – ACCV 2022 ISBN: 9783031263156
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f934b2c960f85d28ba065ff68686b88a
https://doi.org/10.1007/978-3-031-26316-3_28
https://doi.org/10.1007/978-3-031-26316-3_28