MoEnlight: Energy-efficient and self-Adaptive Low-light Video Stream Enhancement on Mobile Devices

Sicong Liu, Xiaochen Li, Zimu Zhou, Bin Guo, Yuan Xu, Zhiwen Yu

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Camera-equipped devices and deep learning advancements have driven the development of intelligent mobile video apps. These apps require on-device processing of video streams for real-Time, high-quality services while addressing privacy and robustness. However, their performance is limited by low-light conditions and small-Aperture cameras in mobile platforms. Existing low-light video enhancement solutions are unsuitable due to complex models and lack of energy efficiency. We introduce MoEnlight, an energy-conscious system for enhancing low-light video on mobile devices. MoEnlight achieves real-Time enhancement with competitive quality, adapting to dynamic energy budgets. Our experiments demonstrate MoEnlight's superiority over state-of-The-Art solutions for enhancing low-light videos.

源语言英语
主期刊名Proceedings of ACM Turing Award Celebration Conference, CHINA 2023
出版商Association for Computing Machinery, Inc
19-20
页数2
ISBN(电子版)9798400702334
DOI
出版状态已出版 - 28 7月 2023
活动2023 ACM Turing Award Celebration Conference, CHINA 2023 - Wuhan, 中国
期限: 28 7月 202330 7月 2023

出版系列

姓名Proceedings of ACM Turing Award Celebration Conference, CHINA 2023

会议

会议2023 ACM Turing Award Celebration Conference, CHINA 2023
国家/地区中国
Wuhan
时期28/07/2330/07/23

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