Yen, Chih-HsuanChih-HsuanYenChen, Wei-MingWei-MingChenHsiu, Pi-ChengPi-ChengHsiuTEI-WEI KUO2020-05-042020-05-04201810923152https://scholars.lib.ntu.edu.tw/handle/123456789/489918https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058168891&doi=10.1145%2f3240765.3240798&partnerID=40&md5=bf36ecd66de1aa8f214b51365ff91f72Mobile devices running augmented reality applications consume considerable energy for graphics-intensive workloads. This paper presents a scheme for the differentiated handling of camera-captured physical scenes and computer-generated virtual objects according to different perceptual quality metrics. We propose online algorithms and their realtime implementations to reduce energy consumption through dynamic frame rate adaptation while maintaining the visual quality required for augmented reality applications. To evaluate system efficacy, we integrate our scheme into Android and conduct extensive experiments on a commercial smartphone with various application scenarios. The results show that the proposed scheme can achieve energy savings of up to 39.1% in comparison to the native graphics system in Android while maintaining satisfactory visual quality. © 2018 ACM.augmented reality; energy savings; frame frame adaptation; mobile systems; visual quality[SDGs]SDG7Android (operating system); Computer aided design; Energy conservation; Energy utilization; Augmented reality applications; frame frame adaptation; Mobile augmented reality; Mobile systems; Perceptual quality metrics; Real-time implementations; Reduce energy consumption; Visual qualities; Augmented realityconference paper10.1145/3240765.32407982-s2.0-85058168891https://doi.org/10.1145/3240765.3240798