A real-time logo detection system using data offloading on mobile devices. Issue 2 (3rd April 2018)

• Record Type: Journal Article
• Authors: Shang, Jiacheng; Wu, Jie
• Is Part Of: Cyber-physical systems. Volume 4:Issue 2(2018)
• Page Start: 99
• Page End: 115
• Publication Date: 2018-04-03
• Subjects: Augmented reality applications -- mobile computing -- mobile offloading; Cooperating objects (Computer systems) -- Periodicals; Internet of things -- Periodicals; 006.22
• DOI: 10.1080/23335777.2018.1499674
• Languages: English
• ISSNs: 2333-5777

Abstract

ABSTRACT: In the past few years, mobile augmented reality (AR) has attracted a great deal of attention. It presents us a live, direct or indirect view of a real-world environment whose elements are augmented (or supplemented) by computer-generated sensory inputs such as sound, video, graphics or GPS data. Also, deep learning has the potential to improve the performance of current AR systems. In this paper, we propose a distributed mobile logo detection framework. Our system consists of mobile AR devices and a back-end server. Mobile AR devices can capture real-time videos and locally decide which frame should be sent to the back-end server for logo detection. The server schedules all detection jobs to minimise the maximum latency. We implement our system on the Google Nexus 5 and a desktop with a wireless network interface. Evaluation results show that our system can detect the view change activity with an accuracy of and successfully process 40 image processing jobs before deadline.