Web-Scale Image Retrieval Using Compact Tensor Aggregation of Visual Descriptors

The main issues for Web-scale image retrieval are achieving good accuracy while retaining low computational time and memory footprint. This article proposes a compact image signature by aggregating tensors of visual descriptors. Efficient aggregation is achieved by preprocessing the descriptors. Compactness is achieved by projection and quantization of the signatures. The authors compare the proposed method to other efficient signatures on a 1 million images dataset and show the soundness of the approach.