Efficient Panorama Database Indexing for Indoor Localization

Jean Baptiste Boin, Dmytro Bobkov, Eckehard Steinbach, Bernd Girod

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

We consider the task of indoor localization in large-scale environments using visual search on a database of geo-Tagged panoramas. In this work we propose an efficient way to represent the database so as to maximize the search accuracy while minimizing the amount of computation required per query. The success of our method is due to a combination of (i) a hierarchical indexing method based on panorama image region information, and (ii) image descriptors aggregated from multiple views sampled finely over the panorama using generalized max pooling (GMP). Experiments on a large indoor dataset show that the complexity is reduced compared to common state-of-The-Art retrieval methods such as FLANN (Fast Library for Approximate Nearest Neighbors): our scheme is more than twice as fast as an index based on FLANN while maintaining a similar retrieval performance.

Original languageEnglish
Title of host publication2019 International Conference on Content-Based Multimedia Indexing, CBMI 2019 - Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9781728146737
DOIs
StatePublished - Sep 2019
Event17th International Conference on Content-Based Multimedia Indexing, CBMI 2019 - Dublin, Ireland
Duration: 4 Sep 20196 Sep 2019

Publication series

NameProceedings - International Workshop on Content-Based Multimedia Indexing
Volume2019-September
ISSN (Print)1949-3991

Conference

Conference17th International Conference on Content-Based Multimedia Indexing, CBMI 2019
Country/TerritoryIreland
CityDublin
Period4/09/196/09/19

Keywords

  • Hierarchical search
  • Image retrieval
  • Indoor localization
  • Panoramic images
  • Visual search

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