A real-time logo detection system using data offloading on mobile devices

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


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 95.7% and successfully process 40 image processing jobs before deadline.

Original languageEnglish
Pages (from-to)99-115
Number of pages17
JournalCyber-Physical Systems
Issue number2
StatePublished - 3 Apr 2018


  • Augmented reality applications
  • mobile computing
  • mobile offloading


Dive into the research topics of 'A real-time logo detection system using data offloading on mobile devices'. Together they form a unique fingerprint.

Cite this