Logo recognition and localization in real-world images by using visual patterns

Wei Ta Chu, Tsung Che Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

By describing spatial relationships between feature points, we present promising logo recognition and localization, which are verified based on two state-of-the-art datasets. Given features points on the query logo, similar features on test images are efficiently found by locality sensitive hashing. After filtering out outliers, candidate regions are found by the mean-sift algorithm, and each region is compared with the logo by jointly considering visual word histogram and visual patterns. Evaluation results show that visual patterns more appropriately describe logos and provide better performance than previous approaches.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
Pages973-976
Number of pages4
DOIs
Publication statusPublished - 2012 Oct 23
Event2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan
Duration: 2012 Mar 252012 Mar 30

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
Country/TerritoryJapan
CityKyoto
Period12-03-2512-03-30

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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