Name
Abstract | ||
|---|---|---|
In this paper, we propose a composite histogram for image indexing and retrieval. The histogram represents the composition of edge and luminance features as well as colors in images. As a result of combining the different features of the image together, we can reduce the size of the histogram drastically without degrading the retrieval performance. Since the proposed histogram contains only 14 bins, it has great advantage in terms of memory and computational complexity in the image retrieval. Experimental results show that the proposed histogram with 14 bins yields better retrieval performance than the RGB color histogram with 256 bins and the HSV color histogram with 166 bins |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/ICME.2000.869614 | IEEE International Conference on Multimedia and Expo (I) |
Keywords | Field | DocType |
edge features,indexing,composite histogram,colors,computational complexity,image indexing,image retrieval,edge detection,brightness,luminance features,image colour analysis,memory,feature extraction,histograms,color histogram,degradation,sun | Computer vision,Histogram,Color histogram,Pattern recognition,Computer science,Histogram matching,Adaptive histogram equalization,Artificial intelligence,Balanced histogram thresholding,Histogram equalization,Image histogram,Color normalization | Conference |
Volume | ISBN | Citations |
1 | 0-7803-6536-4 | 6 |
PageRank | References | Authors |
3.48 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong Kwon Park | 1 | 166 | 15.47 |
| Yoon Seok Jeon | 2 | 118 | 11.89 |
| Chee Sun Won | 3 | 573 | 87.74 |
| Soojun Park | 4 | 106 | 11.67 |
| Seong-Joon Yoo | 5 | 102 | 16.88 |