Please use this identifier to cite or link to this item:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/79067
Title: | 針對圖形密集型應用之輕量級影像相似度評估 Lightweight Content Similarity Assessment for Mobile Graphics Applications |
Authors: | Yu-Chuan Chang 張育銓 |
Advisor: | 郭大維 |
Keyword: | 手機系統,圖形密集型應用程式,內容相似度評估, Mobile System,Graphics-intensive Applications,Content Similarity Assessment, |
Publication Year : | 2018 |
Degree: | 碩士 |
Abstract: | Content similarity measurement enables mobile applications to reduce unnecessary computation energy without compromising user visual experience. Existing measures assess the similarity between image frames based on pixels, resulting in non-negligible overhead. This paper presents a lightweight similarity measure called LSIM, which assesses content similarity based on objects in graphics applications. To evaluate the efficacy, we implement LSIM in Android and conduct extensive experiments on a commercial smartphone with various mobile gaming applications. The results show that LSIM is highly correlated with a commonly used pixel-wise measure while incurring nearly zero overhead. We also apply LSIM to a CPU-GPU governing framework to mitigate the rendering of similar frames, thereby reducing the energy consumption by up to 27.3% while maintaining satisfactory visual quality. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/79067 |
DOI: | 10.6342/NTU201803089 |
Fulltext Rights: | 有償授權 |
metadata.dc.date.embargo-lift: | 2023-08-21 |
Appears in Collections: | 資訊工程學系 |
Files in This Item:
File | Size | Format | |
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ntu-107-R05922057-1.pdf Restricted Access | 4.11 MB | Adobe PDF |
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