Web scale image retrieval using compact tensor aggregation of visual descriptors

Romain Negrel (1) , David Picard (2) , Philippe-Henri Gosselin (1)

1 ETIS - UMR 8051 - Equipes Traitement de l'Information et Systèmes
2 MIDI - Multimedia Indexation and Data Integration

The main issues of web scale image retrieval are to achieve a good accuracy while retaining low computational time and memory footprint. In this paper, we propose 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. We compare our method to other efficient signatures on a 1 million images dataset, and show the soundness of the approach.

Domains: Computer Vision and Pattern Recognition [cs.CV]; Signal and Image processing

Romain Negrel, David Picard, Philippe-Henri Gosselin. Web scale image retrieval using compact tensor aggregation of visual descriptors. IEEE MultiMedia, 2013, 20 (3), pp.24-33. ⟨10.1109/MMUL.2013.14⟩. ⟨hal-00832760⟩