article · 2023
MacSR: Macroblock-aware Lightweight Video Super-Resolution
Rui He, Qing Li, Yu Qian, Zhenhui Yuan, Wanxin Shi, Jianhui Lv, Yi Han
Cited by 0Abstract and details only
Abstract
SummaryThe mobile video quality can be improved by video super-resolution (SR) especially when bandwidth is limited. To achieve real-time SR, the latest work, ClassSR (CVPR 19), divides frames into equal-size image blocks (IBs), and different-complexity SR models are used respectively to reduce the computational burden.
Cite this paper
He, R., Li, Q., Qian, Y., Yuan, Z., Shi, W., Lv, J., & Han, Y. (2023). MacSR: Macroblock-aware Lightweight Video Super-Resolution. https://doi.org/10.1109/dcc55655.2023.00061
He, Rui, et al. “MacSR: Macroblock-aware Lightweight Video Super-Resolution.” 2023, p. 341, https://doi.org/10.1109/dcc55655.2023.00061.
He, Rui, Qing Li, Yu Qian, Zhenhui Yuan, Wanxin Shi, Jianhui Lv, and Yi Han. 2023. “MacSR: Macroblock-aware Lightweight Video Super-Resolution.” https://doi.org/10.1109/dcc55655.2023.00061.
He, R. et al. (2023) ‘MacSR: Macroblock-aware Lightweight Video Super-Resolution’. Available at: https://doi.org/10.1109/dcc55655.2023.00061.
@article{he2023macsr,
title = {{MacSR: Macroblock-aware Lightweight Video Super-Resolution}},
author = {He, Rui and Li, Qing and Qian, Yu and Yuan, Zhenhui and Shi, Wanxin and Lv, Jianhui and Han, Yi},
pages = {341},
year = {2023},
doi = {10.1109/dcc55655.2023.00061}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.