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. 2018 Apr 25;13(4):e0194526. doi: 10.1371/journal.pone.0194526

Table 5. Semantic category-wise comparative analysis of recall with state-of-the-art CBIR techniques on the Corel-1000 image collection (bold values indicate category-wise best performance).

Semantic categories Zeng et al. [34] Douik et al. [20] Feng et al. [40] ElAlami et al. [39] Mehmood et al. [15] Proposed technique
Africa 14.50 15.20 10.50 16.10 14.61 16.57
Beach 13.04 09.00 08.20 19.30 14.92 13.57
Buildings 14.12 11.80 07.40 19.10 16.05 16.13
Buses 17.84 19.60 09.60 12.60 19.17 19.49
Dinosaurs 20.00 20.00 12.00 10.90 19.59 19.72
Elephants 14.10 12.80 08.10 16.30 17.53 14.00
Flowers 18.96 19.20 10.60 12.90 17.03 20.00
Horses 18.36 18.60 12.00 14.40 17.26 19.48
Mountains 14.45 11.80 06.60 18.60 16.49 14.21
Food 15.76 12.20 08.90 14.80 15.79 18.80
Avg. Recall 16.11 15.00 9.39 16.10 16.84 17.19