Location-aware mobile information hub
With the rapid development of mobile devices and image processing technologies, mobile visual search has become a hot topic in both research and commercial fields. Nonetheless, some of its application domains such as landmark visual search still pose challenges in terms of recognition accuracy and s...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2013
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| Online Access: | http://hdl.handle.net/10356/53058 |
| _version_ | 1826125166861615104 |
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| author | Xie, Xiaohui. |
| author2 | Yap Kim Hui |
| author_facet | Yap Kim Hui Xie, Xiaohui. |
| author_sort | Xie, Xiaohui. |
| collection | NTU |
| description | With the rapid development of mobile devices and image processing technologies, mobile visual search has become a hot topic in both research and commercial fields. Nonetheless, some of its application domains such as landmark visual search still pose challenges in terms of recognition accuracy and speed. For a typical landmark recognition system that is based on Vocabulary Tree (VT), Geometric Verification (GV) is often added as the final stage to boost the usually low recognition accuracy. However, GV is very computationally expensive and thus it significantly increases the recognition latency. In view of this, the author’s project incorporates an algorithm called Fast Geometric Re-Ranking (FGRR) into the current recognition system, with the objectives of speeding up the system while maintaining or even improving the accuracy performance. Experimental results have shown that FGRR is able to fulfill such requirements. In terms of accuracy performance, FGRR is able to improve the overall recognition rate by around 1% to 5%, depending on whether our system employs GV. In terms of speed performance, FGRR takes only a small amount of time in the order of 0.001 seconds per query image, which is only a tiny portion compared to the total recognition latency. It is also shown that for our system employing GV, FGRR is able to save up to 2 seconds or more per query image and meanwhile maintain the same level of accuracy performance. |
| first_indexed | 2024-10-01T06:32:15Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/53058 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:32:15Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/530582023-07-07T16:16:44Z Location-aware mobile information hub Xie, Xiaohui. Yap Kim Hui School of Electrical and Electronic Engineering DRNTU::Engineering With the rapid development of mobile devices and image processing technologies, mobile visual search has become a hot topic in both research and commercial fields. Nonetheless, some of its application domains such as landmark visual search still pose challenges in terms of recognition accuracy and speed. For a typical landmark recognition system that is based on Vocabulary Tree (VT), Geometric Verification (GV) is often added as the final stage to boost the usually low recognition accuracy. However, GV is very computationally expensive and thus it significantly increases the recognition latency. In view of this, the author’s project incorporates an algorithm called Fast Geometric Re-Ranking (FGRR) into the current recognition system, with the objectives of speeding up the system while maintaining or even improving the accuracy performance. Experimental results have shown that FGRR is able to fulfill such requirements. In terms of accuracy performance, FGRR is able to improve the overall recognition rate by around 1% to 5%, depending on whether our system employs GV. In terms of speed performance, FGRR takes only a small amount of time in the order of 0.001 seconds per query image, which is only a tiny portion compared to the total recognition latency. It is also shown that for our system employing GV, FGRR is able to save up to 2 seconds or more per query image and meanwhile maintain the same level of accuracy performance. Bachelor of Engineering 2013-05-29T08:41:57Z 2013-05-29T08:41:57Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/53058 en Nanyang Technological University 83 p. application/pdf |
| spellingShingle | DRNTU::Engineering Xie, Xiaohui. Location-aware mobile information hub |
| title | Location-aware mobile information hub |
| title_full | Location-aware mobile information hub |
| title_fullStr | Location-aware mobile information hub |
| title_full_unstemmed | Location-aware mobile information hub |
| title_short | Location-aware mobile information hub |
| title_sort | location aware mobile information hub |
| topic | DRNTU::Engineering |
| url | http://hdl.handle.net/10356/53058 |
| work_keys_str_mv | AT xiexiaohui locationawaremobileinformationhub |