Research Article
Color Image Retrieval Method Using Low Dimensional Salient Visual Feature Descriptors for IoT Applications
Table 5
Comparative results in terms of average precision for top 20 retrieved images for Corel-1K dataset with some state of art CBIR schemes.
| Image category | Shrivastava and Tyagi [24] | Dubey et al. [25] | Mistry et al. [26] | Irtaza et al. [27] | Ahmed et al. [28] | Garg and Dhiman [30] | Vimina and Divya [29] | Varish and Singh [31] | Kumar et al. [32] | Joseph et al. [33] | Proposed scheme |
| People | 74.80 | 75.00 | 62.00 | 83.00 | 90.00 | 81.20 | 72.50 | 60.00 | 80.00 | 81.00 | 91.95 | Beaches | 58.20 | 55.00 | 71.00 | 72.00 | 60.00 | 96.56 | 52.75 | 55.00 | 65.00 | 78.00 | 77.05 | Monuments | 62.10 | 67.00 | 53.00 | 86.00 | 90.00 | 78.20 | 52.70 | 50.00 | 65.00 | 80.00 | 83.75 | Buses | 80.20 | 95.00 | 77.00 | 100.00 | 75.00 | 83.30 | 93.95 | 95.00 | 100.00 | 81.00 | 93.55 | Dinosaurs | 100.00 | 97.00 | 89.00 | 97.00 | 100.00 | 82.20 | 99.45 | 100.00 | 100.00 | 100.00 | 95.25 | Elephants | 75.10 | 63.00 | 55.00 | 82.00 | 70.00 | 77.50 | 52.40 | 45.00 | 70.00 | 81.00 | 84.15 | Flowers | 92.30 | 93.00 | 89.00 | 86.00 | 90.00 | 86.30 | 86.65 | 70.00 | 95.00 | 89.00 | 94.90 | Horses | 89.60 | 89.00 | 55.00 | 82.00 | 100.00 | 86.10 | 83.75 | 95.00 | 100.00 | 95.00 | 90.35 | Mountains | 56.10 | 45.00 | 52.00 | 69.00 | 70.00 | 86.30 | 43.15 | 80.00 | 70.00 | 68.00 | 72.70 | Foods | 80.30 | 70.00 | 55.00 | 90.00 | 90.00 | 90.20 | 71.05 | 65.00 | 90.00 | 60.00 | 85.20 | Mean | 76.90 | 74.90 | 65.80 | 84.70 | 83.50 | 84.79 | 71.04 | 71.50 | 83.50 | 81.30 | 86.89 |
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The bold value indicates the mean representation.
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