"Tunable VVC Frame Partitioning Based on Lightweight Machine Learning."

Thomas Amestoy et al. (2020)

> Home

Details and statistics

DOI: 10.1109/TIP.2019.2938670

access: closed

type: Journal Article

metadata version: 2024-08-04

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tip/AmestoyMHMB20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tip/AmestoyMHMB20
Thomas Amestoy, Alexandre Mercat, Wassim Hamidouche, Daniel Ménard, Cyril Bergeron:
Tunable VVC Frame Partitioning Based on Lightweight Machine Learning. IEEE Trans. Image Process. 29: 1313-1328 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.