Improving bag-of-features for large scale image search - Archive ouverte HAL Access content directly
Journal Articles International Journal of Computer Vision Year : 2010

Improving bag-of-features for large scale image search

(1) , (2) , (2)
1
2
Matthijs Douze
  • Function : Author
  • PersonId : 843109
Cordelia Schmid
  • Function : Author
  • PersonId : 831154

Abstract

This article improves recent methods for large scale image search. We first analyze the bag-of-features approach in the framework of approximate nearest neighbor search. This leads us to derive a more precise representation based on Hamming embedding (HE) and weak geometric consistency constraints (WGC). HE provides binary signatures that refine the matching based on visual words. WGC filters matching descriptors that are not consistent in terms of angle and scale. HE and WGC are integrated within an inverted file and are efficiently exploited for all images in the dataset. We then introduce a graph-structured quantizer which significantly speeds up the assignment of the descriptors to visual words. A comparison with the state of the art shows the interest of our approach when high accuracy is needed. Experiments performed on three reference datasets and a dataset of one million of images show a significant improvement due to the binary signature and the weak geometric consistency constraints, as well as their efficiency. Estimation of the full geometric transformation, i.e., a re-ranking step on a short-list of images, is shown to be complementary to our weak geometric consistency constraints. Our approach is shown to outperform the state-of-the-art on the three datasets.
Fichier principal
Vignette du fichier
jegou_improvingbof_preprint.pdf (2.61 Mo) Télécharger le fichier
Vignette du fichier
wgc.gif (46.06 Ko) Télécharger le fichier
Vignette du fichier
annvw.gif (3.53 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Format : Figure, Image
Format : Figure, Image
Loading...

Dates and versions

inria-00514760 , version 1 (16-03-2011)

Identifiers

Cite

Hervé Jégou, Matthijs Douze, Cordelia Schmid. Improving bag-of-features for large scale image search. International Journal of Computer Vision, 2010, 87 (3), pp.316-336. ⟨10.1007/s11263-009-0285-2⟩. ⟨inria-00514760⟩
3879 View
2740 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More