Table 1 The retrieval results of proposed method and various other existing method in terms of ARP at n = 20 on Corel-1 K database
From: Local quantized extrema patterns for content-based natural and texture image retrieval
Category | Average retrieval precision (ARP) (%); (n = 20) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jhanwar et al. | Lin et al. | CC | Vadivel et al. | Subrahmanyam et al. | LBP | LTP | LDP | LTrP | Reddy et al. | LQP | Proposed method | |
Africans | 53.15 | 68.3 | 80.40 | 78.25 | 69.75 | 52.46 | 57.20 | 55.35 | 60.90 | 61.30 | 61.95 | 75.15 |
Beaches | 43.85 | 54 | 41.25 | 44.25 | 54.25 | 51.33 | 43.60 | 52.05 | 53.90 | 51.25 | 53.9 | 57.65 |
Buildings | 48.7 | 56.2 | 55.65 | 59.10 | 63.95 | 55.66 | 63.35 | 62.25 | 63.40 | 57.85 | 61.95 | 74.7 |
Buses | 82.8 | 88.8 | 76.70 | 86.05 | 89.65 | 96.33 | 95.50 | 95.8 | 96.55 | 94.40 | 97.4 | 94.3 |
Dinosaurs | 95 | 99.3 | 99.00 | 98.70 | 98.70 | 95.23 | 96.8 | 94.5 | 98.00 | 97.85 | 98.75 | 98.95 |
Elephants | 34.85 | 65.8 | 56.20 | 59.00 | 48.80 | 42.03 | 46.05 | 43.35 | 46.10 | 48.90 | 50 | 56.55 |
Flowers | 88.35 | 89.1 | 92.90 | 85.35 | 92.30 | 85.63 | 91.40 | 85.20 | 86.60 | 89.10 | 91.85 | 95.45 |
Horses | 59.35 | 80.3 | 76.50 | 74.95 | 89.450 | 65.30 | 64.75 | 69.40 | 72.15 | 66.20 | 77.3 | 86.65 |
Mountains | 30.8 | 52.2 | 33.70 | 36.55 | 47.30 | 35.93 | 34.55 | 33.55 | 36.10 | 39.40 | 43.75 | 45.9 |
Food | 50.4 | 73.3 | 70.60 | 64.40 | 70.90 | 70.36 | 70.65 | 76.15 | 75.05 | 75.35 | 78.65 | 82 |
Total | 58.72 | 72.7 | 68.29 | 68.66 | 72.5 | 65.03 | 66.38 | 66.76 | 68.87 | 68.16 | 71.55 | 76.73 |