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| Content Provider | Scientific Research Publishing (SCIRP) |
|---|---|
| Author | Yang, Chunlei Peng, Jinye Fan, Jianping |
| Abstract | Near-duplicate image detection is a necessary operation to refine image search results for efficient user exploration. The existences of large amounts of near duplicates require fast and accurate automatic near-duplicate detection methods. We have designed a coarse-to-fine near duplicate detection framework to speed-up the process and a multi-modal integra-tion scheme for accurate detection. The duplicate pairs are detected with both global feature (partition based color his-togram) and local feature (CPAM and SIFT Bag-of-Word model). The experiment results on large scale data set proved the effectiveness of the proposed design. |
| Starting Page | 16 |
| Ending Page | 21 |
| File Format | HTM / HTML PDF |
| ISSN | 21653917 |
| DOI | 10.4236/ojapps.2013.31B004 |
| Issue Number | 01 |
| Journal | Open Journal of Applied Sciences |
| Volume Number | 03 |
| e-ISSN | 21653925 |
| Language | English |
| Publisher Date | 2013-03-30 |
| Access Restriction | Open |
| Subject Keyword | Near-Duplicate Detection Multi-Modal Feature Integration Coarse-To-Fine Framework Biomedical & Life Sciences Chemistry & Materials Science |
| Content Type | Text |
| Resource Type | Article |
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