Review Article

Image Retrieval Using Low Level and Local Features Contents: A Comprehensive Review

Table 4

Average image retrieval accuracy using various feature extraction and description techniques for the augmented Wang dataset.

CategoryFeature extractor-feature descriptor
BRISK-BRISK [63]BRISK-FREAK [63, 65]ORB-ORB [64]MSER-SURF [48, 53]FAST-FREAK [51, 65]SURF-FREAK [48, 65]SURF-SURF [48]

Tribe1.097.322.4114.3915.8424.5522.18
Beach13.351.2714.819.1818.3716.33
Monuments1.126.31.4915.3711.2612.3613.29
Bus17.741.621.221.310.5537.77
Dinosaurs1.1714.622.9528.827.4826.5857.25
Elephant1.255.352.2513.6311.887.7917.14
Roses13.661.7215.827.410.9221.5
Horses1.323.241.9215.778.435.8513.51
Mountains1.015.251.229.96.135.1911.2
Food items1.025.741.318.26.035.311.37
Aeroplane1.244.381.7114.2913.746.321.61
Average retrieval accuracy (%)1.116.083.6215.6512.6112.1622.10