Name
Abstract | ||
|---|---|---|
In this paper, an effective algorithm is developed for tackling the problem of near-duplicate image identification from large-scale image sets, where the LLC (locality-constrained linear coding) method is seamlessly integrated with the maxIDF cut model to achieve more discriminative representations of images. By incorporating MapReduce framework for image clustering and pairwise merging, the near duplicates of images can be identified effectively from large-scale image sets. An intuitive strategy is also introduced to guide the process for parameter selection. Our experimental results on large-scale image sets have revealed that our algorithm can achieve significant improvement on both the accuracy rates and the computation efficiency as compared with other baseline methods. |
Year | DOI | Venue |
|---|---|---|
2017 | https://doi.org/10.1007/s11042-016-4060-4 | Multimedia Tools Appl. |
Keywords | Field | DocType |
Near-duplicate identification,Image clustering,Representative image,MapReduce,Large-scale photos | Image identification,Data mining,Pairwise comparison,Pattern recognition,Feature detection (computer vision),Computer science,Linear coding,Artificial intelligence,Cluster analysis,Merge (version control),Discriminative model,Computation | Journal |
Volume | Issue | ISSN |
76 | 22 | 1380-7501 |
Citations | PageRank | References |
0 | 0.34 | 22 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wanqing Zhao | 1 | 15 | 7.07 |
| Hangzai Luo | 2 | 718 | 43.92 |
| Jinye Peng | 3 | 284 | 40.93 |
| Jianping Fan | 4 | 2677 | 192.33 |