Name
Abstract | ||
|---|---|---|
This paper proposes a new approach for image classification by combining pyramid match kernel(PMK) with spatial pyramid. Unlike the conventional spatial pyramid matching (SPM) approach which only uses a single-resolution feature vector to represent an image, we use a multi-resolution feature vector to represent an image for SPM. We then calculate the match scores at each resolution of SPM representation and finally compute the matching between two images by applying the concept of PMK using the match scores obtained from the multiple resolutions. Our experimental results show that the proposed combined pyramid matching achieves a significant improvement on classification performance. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/DICTA.2016.7797022 | 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA) |
Keywords | Field | DocType |
pyramid match kernel,PMK,spatial pyramid matching,SPM,image classification,multiresolution feature vector,image representation | Kernel (linear algebra),Computer vision,Histogram,Feature vector,Pattern recognition,Computer science,Pyramid (image processing),Feature extraction,Pyramid,Artificial intelligence,Contextual image classification,Image resolution | Conference |
ISBN | Citations | PageRank |
978-1-5090-2897-9 | 0 | 0.34 |
References | Authors | |
11 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Priyabrata Karmakar | 1 | 2 | 2.07 |
| Shyh Wei Teng | 2 | 151 | 21.02 |
| Dengsheng Zhang | 3 | 2462 | 100.00 |
| Ying Liu | 4 | 1417 | 91.19 |
| Guojun Lu | 5 | 603 | 31.33 |