Content and context boosting for mobile landmark recognition
Existing mobile landmark recognition techniques mainly use GPS location information to obtain the candidate images nearby the mobile device, followed by content analysis within the shortlist. This is insufficient since i) GPS often has large errors in dense build-up areas, and ii) direction is under...
Saved in:
| Main Authors: | , |
|---|---|
| 其他作者: | |
| 格式: | Article |
| 語言: | English |
| 出版: |
2013
|
| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/102784 http://hdl.handle.net/10220/16435 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 機構: | Nanyang Technological University |
| 語言: | English |
| 總結: | Existing mobile landmark recognition techniques mainly use GPS location information to obtain the candidate images nearby the mobile device, followed by content analysis within the shortlist. This is insufficient since i) GPS often has large errors in dense build-up areas, and ii) direction is underutilized to further improve recognition. In this letter, visual content and two types of mobile context: location and direction, are integrated by the proposed boosting algorithm. Experimental results show that the proposed method outperforms the state-of-the-art methods by about 6%, 11%, and 15% on NTU Landmark-50, PKU Landmark-198, and the large-scale San Francisco landmark dataset, respectively. |
|---|