Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Marta Mrak"'
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 2, Pp 453-465 (2021)
The versatility of recent machine learning approaches makes them ideal for improvement of next generation video compression solutions. Unfortunately, these approaches typically bring significant increases in computational complexity and are difficult
Externí odkaz:
https://doaj.org/article/5eb286b62c9c4ad5aa43109aebf4437b
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 2, Pp 410-412 (2021)
The papers in this special section focus on applied artificial inteligence and machine learning for video coding and media streaming.
Externí odkaz:
https://doaj.org/article/d126fafd930341d7bcc66ada24a519cb
Autor:
Mingyi Yang, Luis Herranz, Fei Yang, Luka Murn, Marc Gorriz Blanch, Shuai Wan, Fuzheng Yang, Marta Mrak
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4c226d96eda0a7ae9d184fff6aba93d
https://doi.org/10.1109/icassp49357.2023.10096472
https://doi.org/10.1109/icassp49357.2023.10096472
Autor:
Yifan Wang, Luka Murn, Luis Herranz, Fei Yang, Marta Mrak, Wei Zhang, Shuai Wan, Marc Gorriz Blanch
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52506e456866edd9485cfecc572a55a7
https://doi.org/10.1109/icassp49357.2023.10096031
https://doi.org/10.1109/icassp49357.2023.10096031
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250682
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44f63074fc534e7985cf5c98b2f416b9
https://doi.org/10.1007/978-3-031-25069-9_41
https://doi.org/10.1007/978-3-031-25069-9_41
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::525e91593dd6002f9423a9dcaa35a3cd
https://doi.org/10.1109/icip46576.2022.9897708
https://doi.org/10.1109/icip46576.2022.9897708
Autor:
Constantine Stephanidis, Ilia Adami, Stavroula Ntoa, Marta Mrak, George Margetis, Rajitha Weerakkody, Michael Evans, Georgios Mathioudakis, Fiona Rivera, Ioannis Markopoulos, George Metaxakis
Publikováno v:
Multimedia Tools and Applications
Motivated by a combination of social media, technological evolution, as well as new habits and preferences of TV content consumers, there is an increasing demand for enhancement of professional productions with user generated content. Studies have ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0aa22beb8d1c832f67911345a99aeff
https://doi.org/10.1007/s11042-021-11381-2
https://doi.org/10.1007/s11042-021-11381-2
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 2, Pp 453-465 (2021)
Murn, Luka ORCID: 0000-0001-9041-647X, Blasi, Saverio, Smeaton, Alan F. ORCID: 0000-0003-1028-8389 and Mrak, Marta (2021) Improved CNN-based Learning of interpolation filters for low-complexity Inter prediction in video coding. IEEE Open Journal of Signal Processing, 2 . pp. 453-465. ISSN 2644-1322
Murn, Luka ORCID: 0000-0001-9041-647X
The versatility of recent machine learning approaches makes them ideal for improvement of next generation video compression solutions. Unfortunately, these approaches typically bring significant increases in computational complexity and are difficult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f01c7ba2ec5ef3e83d11dfeea37b704
https://ieeexplore.ieee.org/document/9456071/
https://ieeexplore.ieee.org/document/9456071/
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fa250041a4bd8ab011a2e63bebd2abb
https://doi.org/10.1109/icassp43922.2022.9746702
https://doi.org/10.1109/icassp43922.2022.9746702