Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
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Visual Location Recognition Using Time-Series Streetview Database

시계열 스트리트뷰 데이터베이스를 이용한 시각적 위치 인식 알고리즘

  • 박천수 (성균관대학교 컴퓨터교육과) ;
  • 최준연 (세종대학교 소프트웨어학과)
  • Received : 2019.11.27
  • Accepted : 2019.12.13
  • Published : 2019.12.31
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Abstract

Nowadays, portable digital cameras such as smart phone cameras are being popularly used for entertainment and visual information recording. Given a database of geo-tagged images, a visual location recognition system can determine the place depicted in a query photo. One of the most common visual location recognition approaches is the bag-of-words method where local image features are clustered into visual words. In this paper, we propose a new bag-of-words-based visual location recognition algorithm using time-series streetview database. The proposed algorithm selects only a small subset of image features which will be used in image retrieval process. By reducing the number of features to be used, the proposed algorithm can reduce the memory requirement of the image database and accelerate the retrieval process.

Keywords

References

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