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FARES: Fast and Accurate Recognition of Exact Scenes on Mobile Devices

  • University of Massachusetts Boston

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Mobile devices represented by smartphones have been continuously evolving to support various applications. In this paper, we study a new mobile application, named exact scene recognition, where a user can identify a particular place by comparing two images taken there. This application framework enables users to annotate a scene supporting more descriptive image-based interactions such as mobile augmented-reality applications. We enhance the regular approaches with the assistance of the angle-of-view (AOV) information obtained from the smartphone. Our experimental results show a significant improvement on accuracy compared to the existing solutions.

Original languageEnglish
Title of host publication2019 International Conference on Computing, Networking and Communications, ICNC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages918-922
Number of pages5
ISBN (Electronic)9781538692233
DOIs
StatePublished - Apr 8 2019
Event2019 International Conference on Computing, Networking and Communications, ICNC 2019 - Honolulu, United States
Duration: Feb 18 2019 → Feb 21 2019

Publication series

Name2019 International Conference on Computing, Networking and Communications, ICNC 2019

Conference

Conference2019 International Conference on Computing, Networking and Communications, ICNC 2019
Country/TerritoryUnited States
CityHonolulu
Period2/18/19 → 2/21/19

ASJC Scopus Subject Areas

  • Computer Networks and Communications
  • Software
  • Hardware and Architecture

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