Integrated content and context analysis for mobile landmark recognition

Tao Chen, Kim Hui Yap, Lap Pui Chau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

23 Citations (Scopus)


This paper proposes a new approach for mobile landmark recognition based on integrated content and context analysis. Conventional scene/landmark recognition methods focus mainly on nonmobile desktop/PC platform, where content analysis alone is used to perform landmark recognition. These nonmobile systems, however, do not take unique features of mobile devices into consideration, e.g., limited computational power and fast response time requirement of mobile users. On the contrary, most existing context-aware content mobile landmark recognition methods mainly rely on global positioning system location information for context analysis. In view of this, this paper proposes an effective method that employs an integration of content and context analysis to perform landmark recognition using mobile devices. A new bags-of-words (BoW) framework is developed to perform content analysis. It is then integrated with context analysis involving fusion of location and direction information to perform mobile landmark recognition. Experimental results based on the NTU50Landmark database show that the proposed method can achieve good recognition performance in mobile landmark recognition.

Original languageEnglish
Article number5951749
Pages (from-to)1476-1486
Number of pages11
JournalIEEE Transactions on Circuits and Systems for Video Technology
Issue number10
Publication statusPublished - Oct 2011
Externally publishedYes


  • Bags-of-words model
  • content and context integration
  • mobile landmark recognition

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering


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