LSIM: Ultra lightweight similarity measurement for mobile graphics applications
Journal
Proceedings - Design Automation Conference
Date Issued
2019
Author(s)
Abstract
Perceptual similarity measurement allows mobile applications to eliminate unnecessary computations without compromising visual experience. Existing pixel-wise measures incur significant overhead with increasing display resolutions and frame rates. This paper presents an ultra lightweight similarity measure called LSIM, which assesses the similarity between frames based on the transformation matrices of graphics objects. To evaluate its efficacy, we integrate LSIM into the Open Graphics Library and conduct experiments on an Android smartphone with various mobile 3D games. The results show that LSIM is highly correlated with the most widely used pixel-wise measure SSIM, yet three to five orders of magnitude faster. We also apply LSIM to a CPU-GPU governor to suppress the rendering of similar frames, thereby further reducing computation energy consumption by up to 27.3% while maintaining satisfactory visual quality. © 2019 Association for Computing Machinery.
SDGs
Other Subjects
Computer aided design; Energy conservation; Energy utilization; Linear transformations; Mobile computing; Pixels; Display resolutions; Graphics applications; Mobile applications; Orders of magnitude; Perceptual quality; Perceptual similarity; Similarity measurements; Transformation matrices; Three dimensional computer graphics
Type
conference paper